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ICLR 2022 Accepted Papers

The full list of 1,094 papers accepted at ICLR 2022 (International Conference on Learning Representations). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.

Poster: 865Spotlight: 174Oral: 55
  1. Deep Attentive Variational InferencePoster6 citations
  2. Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding IndexesPoster6 citations
  3. Learning Distributionally Robust Models at Scale via Composite OptimizationPoster6 citations
  4. Learning to Dequantise with Truncated FlowsPoster6 citations
  5. Learning to Guide and to be Guided in the Architect-Builder ProblemPoster6 citations
  6. NASPY: Automated Extraction of Automated Machine Learning ModelsSpotlight6 citations
  7. OBJECT DYNAMICS DISTILLATION FOR SCENE DECOMPOSITION AND REPRESENTATIONPoster6 citations
  8. Probabilistic Implicit Scene CompletionSpotlight6 citations
  9. SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture SearchPoster6 citations
  10. Self-Supervised Inference in State-Space ModelsPoster6 citations
  11. The Evolution of Uncertainty of Learning in GamesPoster6 citations
  12. Tighter Sparse Approximation Bounds for ReLU Neural NetworksSpotlight6 citations
  13. Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak ModelsSpotlight6 citations
  14. Tuformer: Data-driven Design of Transformers for Improved Generalization or EfficiencyPoster6 citations
  15. VC dimension of partially quantized neural networks in the overparametrized regimePoster6 citations
  16. BAM: Bayes with Adaptive MemoryPoster5 citations
  17. Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?Poster5 citations
  18. Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modelingPoster5 citations
  19. Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model CompressionPoster5 citations
  20. Evaluating Disentanglement of Structured RepresentationsPoster5 citations
  21. Fast Generic Interaction Detection for Model Interpretability and CompressionPoster5 citations
  22. Frequency-aware SGD for Efficient Embedding Learning with Provable BenefitsPoster5 citations
  23. From Intervention to Domain Transportation: A Novel Perspective to Optimize RecommendationPoster5 citations
  24. Generative Pseudo-Inverse MemoryPoster5 citations
  25. Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous InterfacePoster5 citations
  26. Learning Representation from Neural Fisher Kernel with Low-rank ApproximationPoster5 citations
  27. Memory Augmented Optimizers for Deep LearningPoster5 citations
  28. NETWORK INSENSITIVITY TO PARAMETER NOISE VIA PARAMETER ATTACK DURING TRAININGPoster5 citations
  29. Neural Solvers for Fast and Accurate Numerical Optimal ControlPoster5 citations
  30. Partial Wasserstein Adversarial Network for Non-rigid Point Set RegistrationPoster5 citations
  31. iFlood: A Stable and Effective RegularizerPoster5 citations
  32. ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian ModelsPoster4 citations
  33. Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoderPoster4 citations
  34. Cross-Lingual Transfer with Class-Weighted Language-Invariant RepresentationsPoster4 citations
  35. Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single ImagePoster4 citations
  36. Gaussian Mixture Convolution NetworksPoster4 citations
  37. Graph-Enhanced Exploration for Goal-oriented Reinforcement LearningPoster4 citations
  38. Neural Models for Output-Space Invariance in Combinatorial ProblemsPoster4 citations
  39. Optimizer AmalgamationPoster4 citations
  40. Possibility Before Utility: Learning And Using Hierarchical AffordancesSpotlight4 citations
  41. Provable Adaptation across Multiway Domains via Representation LearningPoster4 citations
  42. Recursive Disentanglement NetworkPoster4 citations
  43. Scalable Sampling for Nonsymmetric Determinantal Point ProcessesSpotlight4 citations
  44. Self-Joint Supervised LearningPoster4 citations
  45. TPU-GAN: Learning temporal coherence from dynamic point cloud sequencesPoster4 citations
  46. Training Data Generating Networks: Shape Reconstruction via Bi-level OptimizationPoster4 citations
  47. Understanding Intrinsic Robustness Using Label UncertaintyPoster4 citations
  48. Unsupervised Disentanglement with Tensor Product Representations on the TorusPoster4 citations
  49. A Generalized Weighted Optimization Method for Computational Learning and InversionPoster3 citations
  50. A Theory of Tournament RepresentationsPoster3 citations
  51. Discriminative Similarity for Data ClusteringPoster3 citations
  52. End-to-End Learning of Probabilistic Hierarchies on GraphsPoster3 citations
  53. LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential EquationsPoster3 citations
  54. Learning Synthetic Environments and Reward Networks for Reinforcement LearningPoster3 citations
  55. Measuring CLEVRness: Black-box Testing of Visual Reasoning ModelsPoster3 citations
  56. Neural Variational Dropout ProcessesPoster3 citations
  57. Optimization and Adaptive Generalization of Three layer Neural NetworksPoster3 citations
  58. Robust and Scalable SDE Learning: A Functional PerspectivePoster3 citations
  59. Stability Regularization for Discrete Representation LearningPoster3 citations
  60. Stein Latent Optimization for Generative Adversarial NetworksPoster3 citations
  61. A Comparison of Hamming Errors of Representative Variable Selection MethodsPoster2 citations
  62. Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking PropertyPoster2 citations
  63. Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and HowPoster2 citations
  64. Bridging Recommendation and Marketing via Recurrent Intensity ModelingPoster2 citations
  65. Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited DataPoster2 citations
  66. Imbedding Deep Neural NetworksSpotlight2 citations
  67. Meta Learning Low Rank Covariance Factors for Energy Based Deterministic UncertaintyPoster2 citations
  68. Neural Program Synthesis with QueryPoster2 citations
  69. Practical Integration via Separable Bijective NetworksPoster2 citations
  70. Variational Inference for Discriminative Learning with Generative Modeling of Feature IncompletionOral2 citations
  71. X-model: Improving Data Efficiency in Deep Learning with A Minimax ModelPoster2 citations
  72. Zero Pixel Directional Boundary by Vector TransformPoster2 citations
  73. Enabling Arbitrary Translation Objectives with Adaptive Tree SearchPoster1 citations
  74. Graph-based Nearest Neighbor Search in Hyperbolic SpacesPoster1 citations
  75. Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown CodimensionSpotlight1 citations
  76. Learning Transferable Reward for Query Object Localization with Policy AdaptationPoster1 citations
  77. Object Pursuit: Building a Space of Objects via Discriminative Weight GenerationPoster1 citations
  78. Provable Learning-based Algorithm For Sparse RecoveryPoster1 citations
  79. Relational Learning with Variational BayesPoster1 citations
  80. $\mathrm{SO}(2)$-Equivariant Reinforcement LearningSpotlight
  81. Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User PreferencesPoster
  82. Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic FunctionsPoster
  83. CycleMLP: A MLP-like Architecture for Dense PredictionOral
  84. Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation ApproachPoster
  85. Deep AutoAugmentPoster
  86. EViT: Expediting Vision Transformers via Token ReorganizationsSpotlight
  87. Equivariant Self-Supervised Learning: Encouraging Equivariance in RepresentationsPoster
  88. Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average RewardSpotlight
  89. GreaseLM: Graph REASoning Enhanced Language ModelsSpotlight
  90. Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with MomentumPoster
  91. SGD Can Converge to Local MaximaSpotlight
  92. Scene Transformer: A unified architecture for predicting future trajectories of multiple agentsPoster
  93. Surreal-GAN:Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patternsPoster
  94. The Effects of Invertibility on the Representational Complexity of Encoders in Variational AutoencodersPoster

ICLR accepted papers in other years

ICLR 2026 (5,356)ICLR 2025 (3,704)ICLR 2024 (2,260)ICLR 2023 (1,575)ICLR 2021 (860)ICLR 2020 (687)ICLR 2019 (502)ICLR 2018 (429)ICLR 2017 (245)

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