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
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README.md

200712 It Is Likely That Your Loss Should be a Likelihood.md

rosinality

2022/04/28

Apr 28, 2022

3aef252 · Apr 28, 2022

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https://arxiv.org/abs/2007.06059

It Is Likely That Your Loss Should be a Likelihood (Mark Hamilton, Evan Shelhamer, William T. Freeman)

종종 나오는 역시 분포의 모든 파라미터(normal likelihood의 분산 파라미터 같은)를 최적화하는 것이 좋지 않을까!? 하는 아이디어. 저자들이 제안하는 장점은 robustness와 calibration. 최근 사례로 기억나는 건...gaussian yolo? https://arxiv.org/abs/1904.04620 #loss

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