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(very personal) Deep learning literature review
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deep-learning machine-learning

Paper Reviews

Machine Learning paper reviews for personal archiving purpose.
Refer to [Issues] tab. (issues without labels are TBD)



Paper List

No Title Venue Year Link
1 Learning representation from backpropagating errors 1986 [pdf]
2 Unpaired Image to Image Translation using cycle-consistent advarsarial net ICCV 2017 [pdf]
3 Generative Adversarial Nets NIPS 2014 [pdf]
4 Understanding Deep Learning requires rethinking Generalization CVPR 2017 [pdf]
5 Show and Tell - A neural Image Caption Generator CVPR 2015 [pdf]
6 Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks ICLR 2016 [pdf]
7 Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models 2017 [pdf]
8 Conditional Generative Adversarial Nets 2014 [pdf]
9 CartoonGAN: Generative Adversarial Networks for Photo Cartoonization CVPR 2018 [pdf]
10 Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding KDD 2019 [pdf]
11 Jukebox: A Generative Model for Music 2020 [pdf]
12 Revisiting Self-supervised Visual Representation Learning CVPR 2019 [pdf]
13 Reposing Humans by Warping 3D Features CVPRW 2020 [pdf]
14 Improving Language Understanding by Generative Pre-Training 2018 [pdf]
15 Language Models are Unsupervised Multitask Learners 2019 [pdf]
16 Implicit Maximum Likelihood Estimation 2018 [pdf]
17 Pose Guided Person Image Generation NIPS 2017 [pdf]
18 Progressive Growing of GANs for Improved Quality, Stability and Variation ICLR 2018 [pdf]
19 Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization ICCV 2017 [pdf]
20 Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN ACPR 2017 [pdf]
21 Continuous Control with Deep Reinforcement Learning 2015 [pdf]
22 Every Model Learned by Gradient Descent is Apporximately a Kernel Machine 2020 [pdf]
23 Closed-Form Factorization of Latent Semantics in GANs CVPR 2021 [pdf]
24 Large Scale GAN Training for High Fidelity Natural Image Synthesis ICLR 2019 [pdf]
25 Im2Pencil: Controllable Pencil Illustration from Photographs CVPR 2019 [pdf]
26 End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image CVPR 2019 [pdf]
27 Improved Precision and Recall Metric for Assessing Generative Models NIPS 2019 [pdf]
28 Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs CVPRW 2020 [pdf]
29 Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network CVPR 2017 [pdf]
30 Sharpness-Aware Minimization for Efficiently Improving Generalization ICLR 2020 [pdf]
31 Differentiable Augmentation for Data-Efficient GAN Training NIPS 2020 [pdf]
32 ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness ICLR 2019 [pdf]
33 U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation ICLR 2020 [pdf]
34 In-Domain GAN Inversion for Real Image Editing ECCV 2020 [pdf]
35 Feature Quantization Improves GAN Training ICML 2020 [pdf]
36 Improved Techniques for Training GANs NIPS 2016 [pdf]
37 Generating Diverse High-Fidelity Images with VQ-VAE-2 NIPS 2019 [pdf]
38 Wide-Context Semantic Image Extrapolation CVPR 2019 [pdf]
39 Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs ICLR 2021 [pdf]
40 Swapping Autoencoder for Deep Image Manipulation NIPS 2020 [pdf]
41 Training GANs with Stronger Augmentations via Contrastive Discriminator ICLR 2021 [pdf]
42 Using Latent Space Regression to Analyze and Leverage Compositionality in GANs 2021 [pdf]
43 On Self-supervised Image Representations For GAN Evaluation ICLR 2021 [pdf]
44 A Good Image Generator is What You Need for High-Resolution Video Synthesis ICLR 2021 [pdf]
45 Adversarial Latent Autoencoders 2020 [pdf]
46 The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks ICLR 2019 [pdf]
47 How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks ICLR 2021 [pdf]
48 Density Estimation Using Real NVP ICLR 2017 [pdf]
49 Unsupervised Learning of Probably Symmetric Deformable 3D Object from Images in the Wild CVPR 2020 [pdf]
50 NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis CVPR 2020 [pdf]
51 Dataset Condensation with Gradient Matching ICLR 2021 [pdf]
52 Momentum Contrast for Unsupervised Visual Representation Learning CVPR 2020 [pdf]
53 Interpreting the Latent Space of GANs for Semantic Face Editing CVPR 2020 [pdf]
54 Learning Continuous Image Representation with Local Implicit Image Function CVPR 2021 [pdf]
55 Bootstrap your own latent: A new approach to self-supervised Learning NIPS 2020 [pdf]
56 PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models CVPR 2020 [pdf]
57 Denoising Diffusion Probabilistic Models NIPS 2020 [pdf]
58 Analyzing and Improving the Image Quality of StyleGAN CVPR 2020 [pdf]
59 Are Convolutional Neural Networks or Transformers more like human vision? 2021 [pdf]
60 Pay Attention to MLPs 2021 [pdf]
61 Rethinking and Improving the Robustness of Image Style Transfer CVPR 2021 [pdf]
62 Style-Aware Normalized Loss for Improving Arbitrary Style Transfer CVPR 2021 [pdf]
63 GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields CVPR 2021 [pdf]
64 Densely connected multidilated convolutional networks for dense prediction tasks CVPR 2021 [pdf]
65 ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows CVPR 2021 [pdf]
66 Dual Contradistinctive Generative Autoencoder CVPR 2021 [pdf]
67 Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning CVPR 2021 [pdf]
68 AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries CVPR 2021 [pdf]
69 Training Networks in Null Space of Feature Covariance for Continual Learning CVPR 2021 [pdf]
70 NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections CVPR 2021 [pdf]
71 Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains NIPS 2020 [pdf]
72 What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? NIPS 2017 [pdf]
73 GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis NIPS 2020 [pdf]
74 Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations NIPS 2019 [pdf]
75 Neural Volumes: Learning Dynamic Renderable Volumes from Images SIGGRAPH 2019 [pdf]
76 pixelNeRF: Neural Radiance Fields from One or Few Images CVPR 2021 [pdf]
77 PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization ICCV 2019 [pdf]
78 pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis CVPR 2021 [pdf]
79 Edge Guided Progressively Generative Image Outpainting CVPRW 2021 [pdf]
80 3D Shape Generation with Grid-based Implicit Functions CVPR 2021 [pdf]
81 Deep Image Prior CVPR 2018 [pdf]
82 Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs ICLR 2021 [pdf]
83 Taming Transformers for High-Resolution Image Synthesis CVPR 2021 [pdf]
84 Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes CVPR 2021 [pdf]
85 Neural Sparse Voxel Fields NIPS 2020 [pdf]
86 Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning 2021 [pdf]
87 Few-shot Image Generation via Cross-domain Correspondence CVPR 2021 [pdf]
88 Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space? ICCV 2019 [pdf]
89 NeX: Real-time View Synthesis with neural Basis Expansion CVPR 2021 [pdf]
90 Few-shot Image Generation with Elastic Weight Consolidation NIPS 2020 [pdf]
91 Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis CVPR 2020 [pdf]
92 On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes ICML 2021 [pdf]
93 AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation CVPR 2020 [pdf]
94 Softmax Splatting for Video Frame Interpolation CVPR 2020 [pdf]
95 Time Lens: Event-based Video Frame Interpolation CVPR 2021 [pdf]
96 Revisiting Adaptive Convolutions for Video Frame Interpolation WACV 2021 [pdf]
97 Depth-Aware Video Frame Interpolation CVPR 2019 [pdf]
98 Channel Attention is All You Need for Video Frame Interpolation AAAI 2020 [pdf]
99 PWC-Net: CNNs for Optical Flow Using Pyramid,Warping, and Cost Volume CVPR 2018 [pdf]
100 RAFT: Recurrent All-Pairs Field Transforms for Optical Flow ECCV 2020 [pdf]
101 What Matters in Unsupervised Optical Flow ECCV 2020 [pdf]
102 Occlusion Aware Unsupervised Learning of Optical Flow CVPR 2018 [pdf]
103 UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss AAAI 2018 [pdf]
104 DDFlow: Learning Optical Flow with Unlabeled Data Distillation AAAI 2019 [pdf]
105 SelFlow: Self-Supervised Learning of Optical Flow CVPR 2019 [pdf]
106 GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose CVPR 2018 [pdf]
107 Zero Shot Text to Image Generation OpenAI 2021 [pdf]
108 LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity CVPR 2021 [pdf]
109 StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks ICCV 2017 [pdf]
110 AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks CVPR 2018 [pdf]
111 Image Synthesis From Reconfigurable Layout and Style ICCV 2019 [pdf]
112 Image Generation from Layout CVPR 2019 [pdf]
113 Context-aware Layout to Image Generation with Enhanced Object Appearance CVPR 2021 [pdf]
114 Attribute-Guided Image Generation From Layout BMVC 2020 [pdf]
115 Object-Centric Image Generation from Layouts AAAI 2021 [pdf]
116 Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis TPAMI 2021 [pdf]
117 BachGAN: High-Resolution Image Synthesis from Salient Object Layout CVPR 2020 [pdf]
118 Region-aware Adaptive Instance Normalization for Image Harmonization CVPR 2021 [pdf]
119 StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis CVPR 2021 [pdf]
120 Optimizing the Latent Space of Generative Networks ICML 2018 [pdf]
121 StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation CVPR 2021 [pdf]
122 Autoencoder Image Interpolation by Shaping the Latent Space ICML 2021 [pdf]
123 Autoencoding Under Normalization Constraints ICML 2021 [pdf]
124 Cross-Modal Contrastive Contrastive Learning for Text-to-Image Generation CVPR 2021 [pdf]
125 Action-Conditioned 3D Human Motion Synthesis with Transformer VAE ICCV 2021 [pdf]
126 Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector ECCV 2020 [pdf]
127 A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder ICCV 2021 [pdf]
128 NUWA: Visual Synthesis Pre-training for Neural visUal World creAtion - - [pdf]
129 Pix2seq: A Language Modeling Framework for Object Detection - - [pdf]
130 Masked Autoencoders Are Scalable Vision Learners - 2021 [pdf]
131 Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision EMNLP 2020 [pdf]
132 Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks NIPS 2020 [pdf]
133 VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer NIPS 2021 [pdf]
134 You Only Learn One Representation: Unified Network for Multiple Tasks - - [pdf]
135 StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis ICLR 2022 [pdf]
136 Co2L: Contrastive Continual Learning ICCV 2021 [pdf]
137 Adversarial Generation of Continuous Images CVPR 2021 [pdf]
138 MetaFormer is Actually What You Need for Vision - - [pdf]
139 Rehearsal revealed: The limits and merits of revisiting samples in continual learning ICCV 2021 [pdf]
140 GDumb: A Simple Approach that Questions Our Progress in Continual Learning ECCV 2020 [pdf]
141 GAN Memory with No Forgetting NIPS 2020 [pdf]
142 Few-Shot and Continual Learning With Attentive Independent Mechanisms ICCV 2021 [pdf]
143 Self-Supervised GANs with Label Augmentation NIPS 2021 [pdf]
144 Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima NIPS 2021 [pdf]
145 On Memorization in Probabilistic Deep Generative Models NIPS 2021 [pdf]
146 Low-Rank Subspaces in GANs NIPS 2021 [pdf]
147 Multimodal Few-Shot Learning with Frozen Language Models NIPS 2021 [pdf]
148 Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation NIPS 2021 [pdf]
149 Do Vision Transformers See Like Convolutional Neural Networks? NIPS 2021 [pdf]
150 Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks ICLR 2022 [pdf]
151 On the Measure of Intelligence - 2019 [pdf]
152 Collapse by Conditioning: Training Class-conditional GANs with Limited Data ICLR 2022 [pdf]
153 Regularizing Generative Adversarial Networks under Limited Data CVPR 2021 [pdf]
154 Denoising Diffusion Probabilistic Models NIPS 2020 [pdf]
155 Improved Denoising Diffusion Probabilistic Models ICML 2021 [pdf]
156 Denoising Diffusion Implicit Models ICLR 2021 [pdf]
157 TRGP: Trust Region Gradient Projection for Continual Learning ICLR 2022 [pdf]
158 Rethinking the Representational Continuity: Towards Unsupervised Continual Learning ICLR 2022 [pdf]
159 Diffusion Models Beat GANs on Image Synthesis NIPS 2021 [pdf]
160 Classifier-free Diffusion Guidance NIPS-W 2021 [pdf]
161 GLIDE: Towards Photorealistic Image Generation and Editing with Text-guided Diffusion Models - 2021 [pdf]
162 VITON: An Image-based Virtual Try-on Network CVPR 2018 [pdf]
163 Toward Characteristic-Preserving Image-based Virtual Try-On Network ECCV 2018 [pdf]
164 VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization CVPR 2021 [pdf]
165 SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation CVPR 2022 [pdf]
166 Deblur-NeRF: Neural Radiance Fields from Blurry Images CVPR 2022 [pdf]
167 Fashion Attribute-to-Image Synthesis Using Attention-based Generative Adversarial Network WACV 2019 [pdf]
168 Attribute Manipulaiton Generative Adversarial Networks for Fashion Images ICCV 2019 [pdf]
169 FlexIT: Towards Flexible Semantic Image Translation CVPR 2022 [pdf]
170 Point-NeRF: Point-based Neural Radiance Fields CVPR 2022 [pdf]
171 CLIP-Event: Connecting Text and Images with Event Structures CVPR 2022 [pdf]
172 InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering CVPR 2022 [pdf]
173 StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis CVPR 2022 [pdf]
174 CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks NIPS 2021 [pdf]
175 Blended Diffusion for Text-driven Editing of Natural Images CVPR 2022 [pdf]
176 Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts - 2022 [pdf]
177 BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation ICML 2022 [pdf]
178 Vision-Language Pre-Training with Triple Contrastive Learning CVPR 2022 [pdf]
179 Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks - 2022 [pdf]
180 Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding - 2022 [pdf]
181 Prompt-to-Prompt Image Editing with Cross Attention Control - 2022 [pdf]
182 An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion - 2022 [pdf]
183 Video Diffusion Models - 2022 [pdf]
184 Diffusion Probabilistic Modeling for Video Generation - 2022 [pdf]
185 High-resolution Image Synthesis with Latent Diffusion Models CVPR 2022 [pdf]
186 Visual Prompting via Image Inpainting NeurIPS 2022 [pdf]
187 On Distillation of Guided Diffusion Models - 2022 [pdf]
188 Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance - 2022 [pdf]
189 eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers - 2022 [pdf]
190 Any-resolution Training for High-resolution Image Synthesis ECCV 2022 [pdf]
191 Variational Diffusion Models NeurIPS 2021 [pdf]
192 Elucidating the Design Space of Diffusion-Based Generative Models NeurIPS 2022 [pdf]
193 Visual Prompt Tuning for Generative Transfer Learning - 2022 [pdf]
194 The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation - 2022 [pdf]
195 Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners NeurIPS 2022 [pdf]
196 DreamFusion: Text-to-3D Using 2D Diffusion ICLR 2023 [pdf]
197 Sketch-Guided Text-to-Image Diffusion Models - 2023 [pdf]
198 Dataset Distillation by Matching Training Trajectories CVPR 2022 [pdf]
199 Is synthetic data from generative models ready for image recognition? ICLR 2023 [pdf]
200 Generative Models as a Data Source for Multiview Representation Learning ICLR 2022 [pdf]
201 Scalable Diffusion Models with Transformers - 2022 [pdf]
202 CAFE: Learning to Condense Dataset by Aligning Features CVPR 2022 [pdf]
203 Learning to Learn with Generative Models of Neural Network Checkpoints - 2022 [pdf]
204 Synthesizing Informative Training Samples with GAN NeurIPSW 2022 [pdf]
205 Sliced Score Matching: A Scalable Approach to Density and Score Estimation UAI 2019 [pdf]
206 Generative Modeling by Estimating Gradients of the Data Distribution NeurIPS 2019 [pdf]
207 Dataset Distillation via Factorization NeurIPS 2022 [pdf]
208 Visual Classification via Description from Large Language Models ICLR 2023 [pdf]
209 Training Language Models to Follow Instructions from Human Feedback - 2022 [pdf]
210 Adding Conditional Control to Text-to-Image Diffusion Models - 2023 [pdf]
211 LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention - 2023 [pdf]
212 BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models - 2023 [pdf]
213 InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning - 2023 [pdf]
214 Diffusion Models already have a Semantic Latent Space ICLR 2023 [pdf]
215 Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation ICLR 2022 [pdf]
216 Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer NeurIPS 2021 [pdf]
217 Any-to-Any Generation via Composable Diffusion - 2023 [pdf]
218 Too Large; Data Reduction for Vision-Language Pre-Training - 2023 [pdf]
219 Controllable Text-to-Image Generation with GPT-4 - 2023 [pdf]
220 VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners - 2023 [pdf]
221 Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning CVPR 2023 [pdf]
222 Visual Instruction Tuning - 2023 [pdf]
223 PaLM-E: An Embodied Multimodal Language Model - 2023 [pdf]
224 Flamingo: a Visual Language Model for Few-Shot Learning NeurIPS 2022 [pdf]
225 Chain-of-Thought Prompting Elicits Reasoning in Large Language Models NeurIPS 2022 [pdf]
226 SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking - 2023 [pdf]
227 Object-centric Learning with Cyclic Walks between Parts and Whole NeurIPS 2023 [pdf]
228 Characterizing the Impacts of Semi-supervised Learning for Weak Supervision NeurIPS 2023 [pdf]
229 Brain Decoding: Toward Real-time Reconstruction of Visual Perception - 2023 [pdf]
230 One-step Diffusion with Distribution Matching Distillation - 2023 [pdf]
231 Analyzing and Improving the Training Dynamics of Diffusion Models - 2023 [pdf]
232 Common Diffusion Noise Schedules and Sample Steps are Flawed - 2023 [pdf]
233 On the Importance of Noise Scheduling for Diffusion Models - 2023 [pdf]
234 StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis - 2023 [pdf]