Files

papers
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- 2019
- 2020
  - 200103 BlendMask.md
  - 200122 CARAFE.md
  - 200122 FixMatch.md
  - 200122 Group Norm, Weight Standardization.md
  - 200122 Moving Average Batch Normalization.md
  - 200122 Object Contextual Representations.md
  - 200122 SABL.md
  - 200122 StyleGAN 2.md
  - 200123 Antialiasing.md
  - 200128 Attentive Normalization.md
  - 200128 IBN-Net.md
  - 200128 Scaling Laws for LM.md
  - 200128 Selective Kernel.md
  - 200128 SpineNet.md
  - 200128 Squeeze-Excitation.md
  - 200128 Switchable Normalization.md
  - 200128 Switchable Whitening.md
  - 200128 mBART.md
  - 200129 AP Loss.md
  - 200129 Adversarial Lipschitz Regularization.md
  - 200129 Are Transformers universal approximator.md
  - 200129 Assembled Techniques.md
  - 200129 Backbone Reallocation for Detection.md
  - 200129 BlendMask.md
  - 200129 Bridge gap of traininfer Panoptic Segmentation.md
  - 200129 COCO 2018 Instance Segmentation.md
  - 200129 Controlling Generative Model.md
  - 200129 Deep Automodulator.md
  - 200129 Deep Snake.md
  - 200129 Dense RepPoints.md
  - 200129 DenseNet.md
  - 200129 DetNAS.md
  - 200129 Dual Path Networks.md
  - 200129 ESRGAN+.md
  - 200129 Empirical Attention.md
  - 200129 Frechet Joint Distance.md
  - 200129 GAN generalization metric.md
  - 200129 GCNet.md
  - 200129 HarDNet.md
  - 200129 IOU-aware single stage detector.md
  - 200129 ImageBERT.md
  - 200129 LM Pretraining.md
  - 200129 Learning by Cheating.md
  - 200129 Meena.md
  - 200129 Mixture FPN.md
  - 200129 Modulated Loss.md
  - 200129 Multi-Graph Transformer.md
  - 200129 Neural Arithmetic Units.md
  - 200129 OneGAN.md
  - 200129 Oriented Objects as Middle Lines.md
  - 200129 Product Key Memory.md
  - 200129 PyramidNet.md
  - 200129 Reformer.md
  - 200129 SelecSLS.md
  - 200129 Semi Autorgressive Training.md
  - 200129 ShuffleNet V2.md
  - 200129 Side-Tuning.md
  - 200129 Speech Recognition.md
  - 200129 Spot CNN generated image.md
  - 200129 VoVNet.md
  - 200129 WaveFlow.md
  - 200129 oLMpics.md
  - 200130 ATSS.md
  - 200130 Adversarial Examples Improve Image Recognition.md
  - 200130 AttentionGAN.md
  - 200130 AutoAugment.md
  - 200130 Axial Attention.md
  - 200130 BIVA.md
  - 200130 BiT ResNet.md
  - 200130 Criss-Cross Attention.md
  - 200130 DropAttention.md
  - 200130 EfficientDet.md
  - 200130 Evaluation metrics of GAN.md
  - 200130 FUNIT.md
  - 200130 Fantastic Generalization Measures.md
  - 200130 Filter Response Normalization.md
  - 200130 FishNet.md
  - 200130 Glow.md
  - 200130 HRNet.md
  - 200130 ID-GAN.md
  - 200130 IGEBM.md
  - 200130 Keypoint Triplet.md
  - 200130 LAMB.md
  - 200130 Learning from Noisy Anchors.md
  - 200130 Local GAN.md
  - 200130 Mastering Atari, Go, Chess, Shogi.md
  - 200130 MixConv.md
  - 200130 MixNMatch.md
  - 200130 Multiple Anchor Learning.md
  - 200130 Neural Spline Flows.md
  - 200130 Noise Robust GAN.md
  - 200130 Objects as Points.md
  - 200130 Once for All.md
  - 200130 Panoptic-DeepLab.md
  - 200130 PointRend.md
  - 200130 Rethinking Normalization.md
  - 200130 Rethinking Pruning.md
  - 200130 RoBERTa.md
  - 200130 Small-GAN.md
  - 200130 Smoothness and Stability in GANs.md
  - 200130 Soft Anchor-Point.md
  - 200130 Sparse Transformer.md
  - 200130 Structured Pruning for LM.md
  - 200130 T5.md
  - 200130 Textured Neural Avatars.md
  - 200130 Unlikelihood Training.md
  - 200130 VQ-VAE-2.md
  - 200130 ViLBERT.md
  - 200130 Weight Standardization.md
  - 200205 K-Adapter.md
  - 200206 Consistency of a Recurrent Language Model With Respect to Incomplete.md
  - 200206 Image Fine-grained Inpainting.md
  - 200206 Product Kanerva Machines.md
  - 200206 Unbalanced GANs.md
  - 200207 A Multilingual View of Unsupervised Machine Translation.md
  - 200207 Bayes Posterior.md
  - 200207 How to train your neural ODE.md
  - 200207 Transformer Transducer.md
  - 200209 Understanding and Improving Knowledge Distillation.md
  - 200210 Liberty or Depth.md
  - 200210 Pre-training Tasks for Embedding-based Large-scale Retrieval.md
  - 200210 Subclass Distillation.md
  - 200210 Unsupervised Discovery of Interpretable Directions in the GAN Latent.md
  - 200211 Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial.md
  - 200211 Improved Consistency Regularization for GANs.md
  - 200211 Object Detection as a Positive-Unlabeled Problem.md
  - 200211 On Layer Normalization in the Transformer Architecture.md
  - 200211 Smoothness and Stability in GANs.md
  - 200211 fastai.md
  - 200212 Capsules with Inverted Dot-Product Attention Routing.md
  - 200212 GLU Variants Improve Transformer.md
  - 200212 Image-to-Image Translation with Text Guidance.md
  - 200212 Real or Not Real, that is the Question.md
  - 200212 Solving Missing-Annotation Object Detection with Background.md
  - 200213 A Simple Framework for Contrastive Learning of Visual Representations.md
  - 200213 Automatically Discovering and Learning New Visual Categories with Ranking Statistics.md
  - 200213 Training Large Neural Networks with Constant Memory using a New Execution Algorithm.md
  - 200214 AutoLR.md
  - 200214 Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base.md
  - 200214 Top-k Training of GANs.md
  - 200214 Transformer on a Diet.md
  - 200214 Transformers as Soft Reasoners over Language.md
  - 200215 Fine-Tuning Pretrained Language Models.md
  - 200217 Augmented Normalizing Flows.md
  - 200217 BatchEnsemble.md
  - 200217 Incorporating BERT into Neural Machine Translation.md
  - 200217 Text Perceptron.md
  - 200218 DivideMix.md
  - 200218 MAST.md
  - 200218 Picking Winning Tickets Before Training by Preserving Gradient Flow.md
  - 200218 The Tree Ensemble Layer.md
  - 200218 Towards Bounding-Box Free Panoptic Segmentation.md
  - 200218 Universal-RCNN.md
  - 200219 CodeBERT.md
  - 200219 Knapsack Pruning with Inner Distillation.md
  - 200219 Revisiting Training Strategies and Generalization Performance in Deep.md
  - 200219 Tree-structured Attention with Hierarchical Accumulation.md
  - 200220 Affinity and Diversity.md
  - 200220 Fast Differentiable Sorting and Ranking.md
  - 200220 Imputer.md
  - 200220 Neural Bayes.md
  - 200220 On the Decision Boundaries of Neural Networks.md
  - 200220 Regularized Autoencoders via Relaxed Injective Probability Flow.md
  - 200220 The Benefits of Pairwise Discriminators for Adversarial Training.md
  - 200221 Addressing Some Limitations of Transformers with Feedback Memory.md
  - 200221 Calibrating Deep Neural Networks using Focal Loss.md
  - 200221 Learning to Continually Learn.md
  - 200221 Residual Knowledge Distillation.md
  - 200221 The Break-Even Point on Optimization Trajectories of Deep Neural Networks.md
  - 200222 Training Question Answering Models From Synthetic Data.md
  - 200222 Unsupervised Question Decomposition for Question Answering.md
  - 200223 Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks.md
  - 200223 GANHopper.md
  - 200224 Batch Normalization Biases Residual Blocks Towards the Identity Function.md
  - 200224 HRank.md
  - 200224 Self-Adaptive Training.md
  - 200224 The Early Phase of Neural Network Training.md
  - 200224 When Relation Networks meet GANs.md
  - 200225 Freeze the Discriminator.md
  - 200225 MiniLM.md
  - 200225 On Feature Normalization and Data Augmentation.md
  - 200225 Rethinking Bias-Variance Trade-off for Generalization of Neural Networks.md
  - 200226 Learning to Shadow Hand-drawn Sketches.md
  - 200226 On Leveraging Pretrained GANs for Generation with Limited Data.md
  - 200226 Sparse Sinkhorn Attention.md
  - 200227 A Primer in BERTology.md
  - 200227 Topology Distance.md
  - 200227 Using a thousand optimization tasks to learn hyperparameter search strategies.md
  - 200227 Woodbury Transformations for Deep Generative Flows.md
  - 200228 A Self-Tuning Actor-Critic Algorithm.md
  - 200228 A U-Net Based Discriminator for Generative Adversarial Networks.md
  - 200228 AdarGCN.md
  - 200228 The Implicit and Explicit Regularization Effects of Dropout.md
  - 200228 UniLMv2.md
  - 200304 A Closer Look at Accuracy vs. Robustness.md
  - 200304 Creating High Resolution Images with a Latent Adversarial Generator.md
  - 200305 Comparing Rewinding and Fine-tuning in Neural Network Pruning.md
  - 200305 Optimizing JPEG Quantization for Classification Networks.md
  - 200305 SketchyCOCO.md
  - 200305 Talking-Heads Attention.md
  - 200305 What the [MASK].md
  - 200306 Semi-Supervised StyleGAN for Disentanglement Learning.md
  - 200306 TaskNorm.md
  - 200306 What is the State of Neural Network Pruning.md
  - 200307 StyleGAN2 Distillation for Feed-forward Image Manipulation.md
  - 200308 PULSE.md
  - 200308 Perceptual Image Super-Resolution with Progressive Adversarial Network.md
  - 200309 Improved Baselines with Momentum Contrastive Learning.md
  - 200309 Knowledge distillation via adaptive instance normalization.md
  - 200310 ReZero is All You Need.md
  - 200310 Unpaired Image-to-Image Translation using Adversarial Consistency Loss.md
  - 200311 Conditional Convolutions for Instance Segmentation.md
  - 200311 Improved Baselines with Momentum Contrastive Learning.md
  - 200312 Online Fast Adaptation and Knowledge Accumulation.md
  - 200312 Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling.md
  - 200313 PointINS.md
  - 200313 Semantic Pyramid for Image Generation.md
  - 200315 GMM-UNIT.md
  - 200316 Frustratingly Simple Few-Shot Object Detection.md
  - 200316 SlimConv.md
  - 200316 Weak and Strong Gradient Directions.md
  - 200317 Axial-DeepLab.md
  - 200317 Blur, Noise, and Compression Robust Generative Adversarial Networks.md
  - 200317 Calibration of Pre-trained Transformers.md
  - 200317 Revisiting the Sibling Head in Object Detector.md
  - 200318 A Content Transformation Block For Image Style Transfer.md
  - 200318 A Metric Learning Reality Check.md
  - 200318 OpenGAN.md
  - 200319 A unifying mutual information view of metric learning.md
  - 200319 GIQA.md
  - 200319 High-Resolution Daytime Translation Without Domain Labels.md
  - 200319 Revisiting the Sibling Head in Object Detector.md
  - 200320 CentripetalNet.md
  - 200323 Deep Unfolding Network for Image Super-Resolution.md
  - 200323 Learning Dynamic Routing for Semantic Segmentation.md
  - 200323 Meta Pseudo Labels.md
  - 200323 Thoughts on recent papers.md
  - 200324 A Systematic Evaluation.md
  - 200324 BigNAS.md
  - 200324 Deformable Style Transfer.md
  - 200325 Improved Techniques for Training Single-Image GANs.md
  - 200325 Rethinking Few-Shot Image Classification.md
  - 200325 What Deep CNNs Benefit from Global Covariance Pooling.md
  - 200326 Are Labels Necessary for Neural Architecture Search.md
  - 200326 Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space.md
  - 200326 Thoughts on recent papers.md
  - 200330 Designing Network Design Spaces.md
  - 200330 Exploiting Deep Generative Prior for Versatile Image Restoration and.md
  - 200330 Semi-supervised Learning for Few-shot Image-to-Image Translation.md
  - 200330 Strip Pooling.md
  - 200330 TResNet.md
  - 200331 In-Domain GAN Inversion for Real Image Editing.md
  - 200331 Regularizing Class-wise Predictions via Self-knowledge Distillation.md
  - 200401 Background Matting.md
  - 200401 Editable Neural Networks.md
  - 200401 Pixel-BERT.md
  - 200402 Controllable Orthogonalization in Training DNNs.md
  - 200402 Learning to See Through Obstructions.md
  - 200402 Tracking Objects as Points.md
  - 200402 Tracking by Instance Detection.md
  - 200403 Aligned Cross Entropy for Non-Autoregressive Machine Translation.md
  - 200403 FairMOT.md
  - 200403 Gradient Centralization.md
  - 200403 Self-Supervised Viewpoint Learning From Image Collections.md
  - 200403 Thoughts on recent papers.md
  - 200404 Deblurring by Realistic Blurring.md
  - 200404 Feature Quantization Improves GAN Training.md
  - 200404 Neural Architecture Search for Lightweight Non-Local Networks.md
  - 200404 Pixel Consensus Voting for Panoptic Segmentation.md
  - 200405 Discriminator Contrastive Divergence.md
  - 200405 FastBERT.md
  - 200405 Structural-analogy from a Single Image Pair.md
  - 200405 Unsupervised Domain Clusters in Pretrained Language Models.md
  - 200406 Evolving Normalization-Activation Layers.md
  - 200406 GANSpace.md
  - 200406 Network Adjustment.md
  - 200406 Rethinking Spatially-Adaptive Normalization.md
  - 200406 Self-Supervised Scene De-occlusion.md
  - 200406 Sparse Text Generation.md
  - 200406 There and Back Again.md
  - 200407 Inclusive GAN.md
  - 200408 Attentive Normalization for Conditional Image Generation.md
  - 200408 Deep Manifold Prior.md
  - 200408 DynaBERT.md
  - 200408 Improving BERT with Self-Supervised Attention.md
  - 200408 State of the Art on Neural Rendering.md
  - 200409 EvoNorm.md
  - 200409 Injecting Numerical Reasoning Skills into Language Models.md
  - 200409 Orthogonal Over-Parameterized Training.md
  - 200409 TuiGAN.md
  - 200410 Longformer.md
  - 200411 Thoughts on recent papers.md
  - 200412 FBNetV2.md
  - 200412 Gradients as Features for Deep Representation Learning.md
  - 200412 Pre-training Text Representations as Meta Learning.md
  - 200412 ProFormer.md
  - 200412 XtremeDistil.md
  - 200413 Dynamic R-CNN.md
  - 200413 Einsum Networks.md
  - 200413 Pretrained Transformers Improve Out-of-Distribution Robustness.md
  - 200413 Topology of deep neural networks.md
  - 200415 Non-Autoregressive Machine Translation with Latent Alignments.md
  - 200419 Are we pretraining it right.md
  - 200419 ResNeSt.md
  - 200419 Roundtrip.md
  - 200419 TriGAN.md
  - 200420 Adversarial Training for Large Neural Language Models.md
  - 200420 Bringing Old Photos Back to Life.md
  - 200420 MPNet.md
  - 200421 Attention is Not Only a Weight.md
  - 200421 Panoptic-based Image Synthesis.md
  - 200422 A Study of Non-autoregressive Model for Sequence Generation.md
  - 200422 When and Why is Unsupervised Neural Machine Translation Useless.md
  - 200423 Don't Stop Pretraining.md
  - 200423 Self-Attention Attribution.md
  - 200423 Supervised Contrastive Learning.md
  - 200423 YOLOv4.md
  - 200424 All Word Embeddings from One Embedding.md
  - 200424 Convolution-Weight-Distribution Assumption.md
  - 200424 Dropout as an Implicit Gating Mechanism For Continual Learning.md
  - 200424 Lite Transformer with Long-Short Range Attention.md
  - 200424 Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order.md
  - 200425 Learning to Guide Random Search.md
  - 200426 Disentangled Image Generation Through Structured Noise Injection.md
  - 200426 Evaluation Metrics for Conditional Image Generation.md
  - 200426 Masking as an Efficient Alternative to Finetuning for Pretrained.md
  - 200426 Neural Topic Modeling with Bidirectional Adversarial Training.md
  - 200427 A Batch Normalized Inference Network Keeps the KL Vanishing Away.md
  - 200427 DeeBERT.md
  - 200427 Lexically Constrained Neural Machine Translation with Levenshtein Transformer.md
  - 200427 LightPAFF.md
  - 200427 Neural Hair Rendering.md
  - 200427 Recall and Learn.md
  - 200427 Scheduled DropHead.md
  - 200428 Angle-based Search Space Shrinking for Neural Architecture Search.md
  - 200428 Exploring Self-attention for Image Recognition.md
  - 200428 Showing Your Work Doesn't Always Work.md
  - 200504 How to Train Your Energy-Based Model for Regression.md
  - 200504 Transforming and Projecting Images into Class-conditional Generative.md
  - 200505 Stolen Probability.md
  - 200506 CONFIG.md
  - 200506 Local Search is State of the Art for Neural Architecture Search.md
  - 200506 PeTra.md
  - 200506 RNN-T Models Fail to Generalize to Out-of-Domain Audio.md
  - 200506 Scale-Equalizing Pyramid Convolution for Object Detection.md
  - 200507 Noisy Differentiable Architecture Search.md
  - 200508 An Investigation of Why Overparameterization Exacerbates Spurious.md
  - 200508 Transforming task representations to perform novel tasks.md
  - 200509 Building a Manga Dataset.md
  - 200509 Generalizing Outside the Training Set.md
  - 200510 CTC-synchronous Training for Monotonic Attention Model.md
  - 200510 Listen Attentively, and Spell Once.md
  - 200511 Prototypical Contrastive Learning of Unsupervised Representations.md
  - 200511 Scope Head for Accurate Localization in Object Detection.md
  - 200512 FeatherWave.md
  - 200512 Flowtron.md
  - 200512 Invertible Image Rescaling.md
  - 200512 Neural Architecture Transfer.md
  - 200513 INFOTABS.md
  - 200513 Implicit Regularization in Deep Learning May Not Be Explainable by Norms.md
  - 200514 Bayesian Bits.md
  - 200514 Behind the Scene.md
  - 200514 Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors.md
  - 200515 Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution.md
  - 200515 Face Identity Disentanglement via Latent Space Mapping.md
  - 200515 Finding Experts in Transformer Models.md
  - 200515 JDI-T.md
  - 200515 Movement Pruning.md
  - 200515 Semantic Photo Manipulation with a Generative Image Prior.md
  - 200516 Conformer.md
  - 200516 Large scale weakly and semi-supervised learning for low-resource video ASR.md
  - 200516 Layer-Wise Cross-View Decoding for Sequence-to-Sequence Learning.md
  - 200516 MicroNet for Efficient Language Modeling.md
  - 200516 Reducing Spelling Inconsistencies in Code-Switching ASR using.md
  - 200516 Single-Stage Semantic Segmentation from Image Labels.md
  - 200516 Spike-Triggered Non-Autoregressive Transformer for End-to-End Speech Recognition.md
  - 200516 Streaming Transformer-based Acoustic Models Using Self-attention with Augmented Memory.md
  - 200518 (Re)construing Meaning in NLP.md
  - 200518 An Analysis of the Adaptation Speed of Causal Models.md
  - 200518 Attention-based Transducer for Online Speech Recognition.md
  - 200518 Audio ALBERT.md
  - 200518 Contextual Embeddings.md
  - 200518 Iterative Pseudo-Labeling for Speech Recognition.md
  - 200518 Joint Multi-Dimension Pruning.md
  - 200518 Large-scale empirical validation of Bayesian Network structure learning.md
  - 200518 Robust Training of Vector Quantized Bottleneck Models.md
  - 200518 U$^2$-Net.md
  - 200518 Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization.md
  - 200518 Weak-Attention Suppression For Transformer Based Speech Recognition.md
  - 200519 A New Training Pipeline for an Improved Neural Transducer.md
  - 200519 Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting.md
  - 200519 CIAGAN.md
  - 200519 Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition.md
  - 200519 Identifying Statistical Bias in Dataset Replication.md
  - 200519 Improved Noisy Student Training for Automatic Speech Recognition.md
  - 200519 Normalized Attention Without Probability Cage.md
  - 200519 One Size Fits All.md
  - 200519 Regularization Methods for Generative Adversarial Networks.md
  - 200519 Staying True to Your Word.md
  - 200520 Neural Controlled Differential Equations.md
  - 200520 Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models.md
  - 200520 What Makes for Good Views for Contrastive Learning.md
  - 200521 HyperSTAR.md
  - 200521 Why distillation helps.md
  - 200526 End-to-End Object Detection with Transformers.md
  - 200526 Keep it Simple.md
  - 200601 Amnesic Probing.md
  - 200601 Cascaded Text Generation with Markov Transformers.md
  - 200602 FBNetV3.md
  - 200603 DetectoRS.md
  - 200604 Image Augmentations for GAN Training.md
  - 200605 CoCon.md
  - 200605 End-to-End Adversarial Text-to-Speech.md
  - 200605 Funnel-Transformer.md
  - 200605 Masked Language Modeling for Proteins via Linearly Scalable Long-Context.md
  - 200608 FastSpeech 2.md
  - 200608 Linformer.md
  - 200608 On the Stability of Fine-tuning BERT.md
  - 200610 MC-BERT.md
  - 200610 Revisiting Few-sample BERT Fine-tuning.md
  - 200611 Rethinking Pre-training and Self-training.md
  - 200611 Rethinking the Truly Unsupervised Image-to-Image Translation.md
  - 200611 Training Generative Adversarial Networks with Limited Data.md
  - 200613 Bootstrap your own latent.md
  - 200615 Multiscale Deep Equilibrium Models.md
  - 200615 To Pretrain or Not to Pretrain.md
  - 200616 Improved Techniques for Training Score-Based Generative Models.md
  - 200618 Differentiable Augmentation for Data-Efficient GAN Training.md
  - 200618 Diverse Image Generation via Self-Conditioned GANs.md
  - 200619 Augmentation for GANs.md
  - 200619 Denoising Diffusion Probabilistic Models.md
  - 200620 Regression Prior Networks.md
  - 200621 AdvAug.md
  - 200624 Neural Architecture Design for GPU-Efficient Networks.md
  - 200625 MTAdam.md
  - 200625 Smooth Adversarial Training.md
  - 200626 A Loss Function for Generative Neural Networks Based on Watson's.md
  - 200626 Critic Regularized Regression.md
  - 200626 Object-Centric Learning with Slot Attention.md
  - 200626 Pre-training via Paraphrasing.md
  - 200627 Denoising Diffusion Probabilistic Models Implementation.md
  - 200627 Laplacian Regularized Few-Shot Learning.md
  - 200628 Rethinking Positional Encoding in Language Pre-training.md
  - 200629 An EM Approach to Non-autoregressive Conditional Sequence Generation.md
  - 200630 Debiased Contrastive Learning.md
  - 200630 Deep Isometric Learning for Visual Recognition.md
  - 200630 PLATO-2.md
  - 200630 PriorGAN.md
  - 200630 Similarity Search for Efficient Active Learning and Search of Rare.md
  - 200701 Go Wide, Then Narrow.md
  - 200701 On Dropout, Overfitting, and Interaction Effects in Deep Neural Networks.md
  - 200701 On Linear Identifiability of Learned Representations.md
  - 200702 Beyond Signal Propagation.md
  - 200702 Deep Single Image Manipulation.md
  - 200702 Interactive Knowledge Distillation.md
  - 200703 Collaborative Learning for Faster StyleGAN Embedding.md
  - 200703 Language-agnostic BERT Sentence Embedding.md
  - 200706 Kernel Stein Generative Modeling.md
  - 200706 LabelEnc.md
  - 200706 Lossless CNN Channel Pruning via Decoupling Remembering and Forgetting.md
  - 200706 Meta-Learning Symmetries by Reparameterization.md
  - 200707 AutoAssign.md
  - 200707 Do Transformers Need Deep Long-Range Memory.md
  - 200707 NVAE.md
  - 200707 RIFLE.md
  - 200707 Remix.md
  - 200708 InfoMax-GAN.md
  - 200708 Learning Differential Equations that are Easy to Solve.md
  - 200708 Thoughts on recent papers.md
  - 200709 Fast Transformers with Clustered Attention.md
  - 200709 Improving Style-Content Disentanglement in Image-to-Image Translation.md
  - 200709 Sample-based Regularization.md
  - 200710 Geometric Style Transfer.md
  - 200710 Learn to Use Future Information in Simultaneous Translation.md
  - 200710 Meta-Learning Requires Meta-Augmentation.md
  - 200710 To Filter Prune, or to Layer Prune, That Is The Question.md
  - 200711 Adversarially-Trained Deep Nets Transfer Better.md
  - 200712 Do You Have the Right Scissors.md
  - 200712 It Is Likely That Your Loss Should be a Likelihood.md
  - 200712 Learning to Learn Parameterized Classification Networks for Scalable.md
  - 200712 PSConv.md
  - 200713 An Empirical Study on Robustness to Spurious Correlations using.md
  - 200713 Closed-Form Factorization of Latent Semantics in GANs.md
  - 200714 AQD.md
  - 200714 COCO-FUNIT.md
  - 200715 AdapterHub.md
  - 200715 InfoXLM.md
  - 200715 Probabilistic Anchor Assignment with IoU Prediction for Object Detection.md
  - 200715 Towards Debiasing Sentence Representations.md
  - 200715 Transformation Consistency Regularization- A Semi-Supervised Paradigm.md
  - 200716 Do Adversarially Robust ImageNet Models Transfer Better.md
  - 200716 RepPoints V2.md
  - 200717 A Unifying Perspective on Neighbor Embeddings along the.md
  - 200717 Semantic factor of GANs.md
  - 200717 Thoughts on recent papers.md
  - 200720 Distributed Associative Memory Network with Memory Refreshing Loss.md
  - 200720 NSGANetV2.md
  - 200721 Adversarial Training Reduces Information and Improves Transferability.md
  - 200721 Improving compute efficacy frontiers with SliceOut.md
  - 200722 CrossTransformers.md
  - 200722 Deep Variational Instance Segmentation.md
  - 200722 WeightNet.md
  - 200723 PP-YOLO.md
  - 200723 TSIT.md
  - 200723 The Devil is in Classification.md
  - 200724 Deep Co-Training with Task Decomposition for Semi-Supervised Domain.md
  - 200724 The Surprising Effectiveness of Linear Unsupervised Image-to-Image.md
  - 200725 Neighbor Embedding.md
  - 200726 Thoughts on recent papers.md
  - 200727 Big Bird.md
  - 200727 Corner Proposal Network for Anchor-free, Two-stage Object Detection.md
  - 200729 Developing RNN-T Models Surpassing High-Performance Hybrid Models with.md
  - 200729 Instance Selection for GANs.md
  - 200729 Mirostat.md
  - 200729 Unselfie.md
  - 200729 VocGAN.md
  - 200730 Contrastive Learning for Unpaired Image-to-Image Translation.md
  - 200730 LevelSet R-CNN.md
  - 200730 Rewriting a Deep Generative Model.md
  - 200802 DeLighT.md
  - 200802 Thoughts on recent papers.md
  - 200803 Encoding in Style.md
  - 200803 LoCo.md
  - 200804 Autoencoder Image Interpolation by Shaping the Latent Space.md
  - 200804 Open-Edit.md
  - 200804 Taking Notes on the Fly Helps BERT Pre-training.md
  - 200807 Improving the Speed and Quality of GAN by Adversarial Training.md
  - 200810 Informative Dropout for Robust Representation Learning.md
  - 200821 Virtual Try On.md
  - 200826 EfficientFCN.md
  - 201014 NeRF++.md
  - 201015 Fine-Tuning Pre-trained Language Model with Weak Supervision.md
  - 201015 HS-ResNet.md
  - 201015 Representation Learning via Invariant Causal Mechanisms.md
  - 201016 Representation Learning via Invariant Causal Mechanisms.md
  - 201019 Smooth activations and reproducibility in deep networks.md
  - 201020 BYOL works even without batch statistics.md
  - 201020 Pushing the Limits of Semi-Supervised Learning for Automatic Speech.md
  - 201021 BYOL works even without batch statistics.md
  - 201021 FastEmit.md
  - 201021 Self-training and Pre-training are Complementary for Speech Recognition.md
  - 201022 Parallel Tacotron.md
  - 201022 mT5.md
  - 201023 Rethinking embedding coupling in pre-trained language models.md
  - 201025 Improved Mask-CTC for Non-Autoregressive End-to-End ASR.md
  - 201027 CASS-NAT.md
  - 201027 Scaling Laws for Autoregressive Generative Modeling.md
  - 201028 Training Generative Adversarial Networks by Solving Ordinary.md
  - 201106 Wave-Tacotron.md
  - 201108 Long Range Arena.md
  - 201109 Learning Semantic-aware Normalization for Generative Adversarial Networks.md
  - 201109 Towards Domain-Agnostic Contrastive Learning.md
  - 201109 Towards a Better Global Loss Landscape of GANs.md
  - 201109 When Do You Need Billions of Words of Pretraining Data.md
  - 201112 Learning Semantic-aware Normalization for Generative Adversarial Networks.md
  - 201112 When Do You Need Billions of Words of Pretraining Data.md
  - 201116 AdCo.md
  - 201116 On the Marginal Benefit of Active Learning.md
  - 201116 Scaled-YOLOv4.md
  - 201116 Stylized Neural Painting.md
  - 201117 DeepNAG.md
  - 201117 Dense Contrastive Learning for Self-Supervised Visual Pre-Training.md
  - 201117 Neural Semi-supervised Learning for Text Classification Under.md
  - 201117 Sequence-Level Mixed Sample Data Augmentation.md
  - 201117 UP-DETR.md
  - 201118 End-to-End Object Detection with Adaptive Clustering Transformer.md
  - 201118 FROST.md
  - 201118 Style Intervention.md
  - 201118 Thoughts on recent papers.md
  - 201118 Universal MelGAN.md
  - 201119 Creative Sketch Generation.md
  - 201119 DCT-Mask.md
  - 201119 Dual Contradistinctive Generative Autoencoder.md
  - 201119 Heterogeneous Contrastive Learning.md
  - 201119 On the Dynamics of Training Attention Models.md
  - 201119 Propagate Yourself.md
  - 201119 Unifying Instance and Panoptic Segmentation with Dynamic Rank-1.md
  - 201120 An Effective Anti-Aliasing Approach for Residual Networks.md
  - 201120 Thoughts on recent papers.md
  - 201120 Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them.md
  - 201121 Rethinking Transformer-based Set Prediction for Object Detection.md
  - 201121 Run Away From your Teacher.md
  - 201122 Ranking Neural Checkpoints.md
  - 201122 Stable Weight Decay Regularization.md
  - 201123 Boosting Contrastive Self-Supervised Learning with False Negative.md
  - 201123 Cross-Camera Convolutional Color Constancy.md
  - 201123 Dissecting Image Crops.md
  - 201123 HistoGAN.md
  - 201123 Is a Green Screen Really Necessary for Real-Time Portrait Matting.md
  - 201123 Scaling Wide Residual Networks for Panoptic Segmentation.md
  - 201124 Adversarial Generation of Continuous Images.md
  - 201124 Energy-Based Models for Continual Learning.md
  - 201124 MicroNet.md
  - 201124 Sparse R-CNN.md
  - 201125 Can Temporal Information Help with Contrastive Self-Supervised Learning.md
  - 201125 FBWave.md
  - 201125 How to train your conditional GAN.md
  - 201125 Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes.md
  - 201125 Omni-GAN.md
  - 201125 Streaming end-to-end multi-talker speech recognition.md
  - 201125 Thoughts on recent papers.md
  - 201126 Beyond Single Instance Multi-view Unsupervised Representation Learning.md
  - 201126 How Well Do Self-Supervised Models Transfer.md
  - 201126 Score-Based Generative Modeling through Stochastic Differential.md
  - 201126 SelfText Beyond Polygon.md
  - 201126 The Devil is in the Boundary.md
  - 201126 Thoughts on recent papers 1.md
  - 201126 Thoughts on recent papers 2.md
  - 201127 D-NeRF.md
  - 201127 Field of Junctions.md
  - 201127 General Multi-label Image Classification with Transformers.md
  - 201127 Image Generators with Conditionally-Independent Pixel Synthesis.md
  - 201127 Navigating the GAN Parameter Space for Semantic Image Editing.md
  - 201127 Progressively Stacking 2.0.md
  - 201127 Self-EMD.md
  - 201127 Unsupervised part representation by Flow Capsules.md
  - 201128 Batch Normalization with Enhanced Linear Transformation.md
  - 201128 Class-agnostic Object Detection.md
  - 201128 Truly shift-invariant convolutional neural networks.md
  - 201129 End-to-End Video Instance Segmentation with Transformers.md
  - 201130 Animating Pictures with Eulerian Motion Fields.md
  - 201130 Image Quality Assessment for Perceptual Image Restoration.md
  - 201130 Multimodal Pretraining Unmasked.md
  - 201130 Towards Better Accuracy-efficiency Trade-offs.md
  - 201201 Dynamic Feature Pyramid Networks for Object Detection.md
  - 201201 Fully Convolutional Networks for Panoptic Segmentation.md
  - 201201 How Can We Know When Language Models Know.md
  - 201201 MaX-DeepLab.md
  - 201201 Pre-Trained Image Processing Transformer.md
  - 201201 Refining Deep Generative Models via Discriminator Gradient Flow.md
  - 201201 StructFormer.md
  - 201201 Towards Good Practices in Self-supervised Representation Learning.md
  - 201201 Unpaired Image-to-Image Translation via Latent Energy Transport.md
  - 201201 Weakly-Supervised Arbitrary-Shaped Text Detection with.md
  - 201201 pi-GAN.md
  - 201202 Dual Refinement Feature Pyramid Networks for Object Detection.md
  - 201202 Improved Contrastive Divergence Training of Energy Based Models.md
  - 201202 Learning from others' mistakes.md
  - 201202 Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate.md
  - 201202 Single-shot Path Integrated Panoptic Segmentation.md
  - 201203 BoxInst.md
  - 201203 CoCosNet v2.md
  - 201203 Learned Initializations for Optimizing Coordinate-Based Neural.md
  - 201203 Self-labeled Conditional GANs.md
  - 201203 pixelNeRF.md
  - 201204 A Note on Data Biases in Generative Models.md
  - 201204 Few-shot Image Generation with Elastic Weight Consolidation.md
  - 201204 Nimble.md
  - 201204 Seed the Views.md
  - 201204 Thoughts on recent papers.md
  - 201205 Spatially-Adaptive Pixelwise Networks for Fast Image Translation.md
  - 201207 EfficientTTS.md
  - 201207 End-to-End Object Detection with Fully Convolutional Network.md
  - 201208 You Only Need Adversarial Supervision for Semantic Image Synthesis.md
  - 201209 Positional Encoding as Spatial Inductive Bias in GANs.md
  - 201212 Contrastive Learning for Label-Efficient Semantic Segmentation.md
  - 201212 MiniVLM.md
  - 201213 Simple Copy-Paste is a Strong Data Augmentation Method for Instance.md
  - 201214 Improving Panoptic Segmentation at All Scales.md
  - 201214 Learning Energy-Based Models by Diffusion Recovery Likelihood.md
  - 201215 Detecting Invisible People.md
  - 201215 Object-Centric Neural Scene Rendering.md
  - 201217 Taming Transformers for High-Resolution Image Synthesis.md
  - 201220 ResizeMix.md
  - 201221 FcaNet.md
  - 201221 Online Bag-of-Visual-Words Generation for Unsupervised Representation.md
  - 201221 RealFormer.md
  - 201222 Seeing past words.md
  - 201222 Time-Travel Rephotography.md
  - 201223 A Survey on Visual Transformer.md
  - 201223 Focal Frequency Loss for Image Reconstruction and Synthesis.md
  - 201223 Noisy Labels Can Induce Good Representations.md
  - 201223 SWA Object Detection.md
  - 201223 Training data-efficient image transformers & distillation through.md
  - 201224 Self-supervised Pre-training with Hard Examples Improves Visual.md
  - 201224 Soft-IntroVAE.md
  - 201224 Why Neural Machine Translation Prefers Empty Outputs.md
  - 201225 Implicit Feature Pyramid Network for Object Detection.md
  - 201226 Spatial Contrastive Learning for Few-Shot Classification.md
  - 201227 SG-Net.md
  - 201227 Syntax-Enhanced Pre-trained Model.md
  - 201227 Towards A Category-extended Object Detector without Relabeling or.md
  - 201228 Universal Sentence Representation Learning with Conditional Masked.md
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README.md

200518 Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization.md

Apr 28, 2022

3aef252 · Apr 28, 2022

https://arxiv.org/abs/2005.08526

Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization (Jen-Yu Liu, Yu-Hua Chen, Yin-Cheng Yeh, Yi-Hsuan Yang)

#audio_generation #gan