| idx | title | year | conf | abstract |
|---|---|---|---|---|
| 425197 | 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021 | 2021 | iclr | None |
| 350531 | Language-Agnostic Representation Learning of Source Code from Structure and Context. | 2021 | iclr | None |
| 350530 | PseudoSeg - Designing Pseudo Labels for Semantic Segmentation. | 2021 | iclr | None |
| 350529 | Fooling a Complete Neural Network Verifier. | 2021 | iclr | None |
| 350528 | Effective Abstract Reasoning with Dual-Contrast Network. | 2021 | iclr | None |
| 350527 | Enjoy Your Editing - Controllable GANs for Image Editing via Latent Space Navigation. | 2021 | iclr | None |
| 350526 | MALI - A memory efficient and reverse accurate integrator for Neural ODEs. | 2021 | iclr | None |
| 350525 | HalentNet - Multimodal Trajectory Forecasting with Hallucinative Intents. | 2021 | iclr | None |
| 350524 | IOT - Instance-wise Layer Reordering for Transformer Structures. | 2021 | iclr | None |
| 350523 | Deformable DETR - Deformable Transformers for End-to-End Object Detection. | 2021 | iclr | None |
| 350522 | Simple Spectral Graph Convolution. | 2021 | iclr | None |
| 350521 | Neural Delay Differential Equations. | 2021 | iclr | None |
| 350520 | R-GAP - Recursive Gradient Attack on Privacy. | 2021 | iclr | None |
| 350519 | Efficient Inference of Flexible Interaction in Spiking-neuron Networks. | 2021 | iclr | None |
| 350518 | Evaluating the Disentanglement of Deep Generative Models through Manifold Topology. | 2021 | iclr | None |
| 350517 | Domain Generalization with MixStyle. | 2021 | iclr | None |
| 350516 | Meta-Learning with Neural Tangent Kernels. | 2021 | iclr | None |
| 350515 | Robust Curriculum Learning - from clean label detection to noisy label self-correction. | 2021 | iclr | None |
| 350514 | Bypassing the Ambient Dimension - Private SGD with Gradient Subspace Identification. | 2021 | iclr | None |
| 350513 | Rethinking Soft Labels for Knowledge Distillation - A Bias-Variance Tradeoff Perspective. | 2021 | iclr | None |
| 350512 | Learning N - M Fine-grained Structured Sparse Neural Networks From Scratch. | 2021 | iclr | None |
| 350511 | Pre-training Text-to-Text Transformers for Concept-centric Common Sense. | 2021 | iclr | None |
| 350510 | Hopper - Multi-hop Transformer for Spatiotemporal Reasoning. | 2021 | iclr | None |
| 350509 | Meta-learning Symmetries by Reparameterization. | 2021 | iclr | None |
| 350508 | An Unsupervised Deep Learning Approach for Real-World Image Denoising. | 2021 | iclr | None |
| 350507 | Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling. | 2021 | iclr | None |
| 350506 | What Makes Instance Discrimination Good for Transfer Learning? | 2021 | iclr | None |
| 350505 | LiftPool - Bidirectional ConvNet Pooling. | 2021 | iclr | None |
| 350504 | Neural Topic Model via Optimal Transport. | 2021 | iclr | None |
| 350503 | Dataset Condensation with Gradient Matching. | 2021 | iclr | None |
| 350502 | Mutual Information State Intrinsic Control. | 2021 | iclr | None |
| 350501 | Uncertainty-aware Active Learning for Optimal Bayesian Classifier. | 2021 | iclr | None |
| 350500 | Large Scale Image Completion via Co-Modulated Generative Adversarial Networks. | 2021 | iclr | None |
| 350499 | Learning with Feature-Dependent Label Noise - A Progressive Approach. | 2021 | iclr | None |
| 350498 | IEPT - Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning. | 2021 | iclr | None |
| 350497 | Neural Thompson Sampling. | 2021 | iclr | None |
| 350496 | Geometry-aware Instance-reweighted Adversarial Training. | 2021 | iclr | None |
| 350495 | Hierarchical Reinforcement Learning by Discovering Intrinsic Options. | 2021 | iclr | None |
| 350494 | Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency. | 2021 | iclr | None |
| 350493 | Beyond Fully-Connected Layers with Quaternions - Parameterization of Hypercomplex Multiplications with 1/n Parameters. | 2021 | iclr | None |
| 350492 | Personalized Federated Learning with First Order Model Optimization. | 2021 | iclr | None |
| 350491 | Faster Binary Embeddings for Preserving Euclidean Distances. | 2021 | iclr | None |
| 350490 | Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization. | 2021 | iclr | None |
| 350489 | Coping with Label Shift via Distributionally Robust Optimisation. | 2021 | iclr | None |
| 350488 | Improve Object Detection with Feature-based Knowledge Distillation - Towards Accurate and Efficient Detectors. | 2021 | iclr | None |
| 350487 | DynaTune - Dynamic Tensor Program Optimization in Deep Neural Network Compilation. | 2021 | iclr | None |
| 350486 | Interpreting and Boosting Dropout from a Game-Theoretic View. | 2021 | iclr | None |
| 350485 | How Does Mixup Help With Robustness and Generalization? | 2021 | iclr | None |
| 350484 | Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering. | 2021 | iclr | None |
| 350483 | Learning to Generate 3D Shapes with Generative Cellular Automata. | 2021 | iclr | None |
| 350482 | Robust Reinforcement Learning on State Observations with Learned Optimal Adversary. | 2021 | iclr | None |
| 350481 | Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation. | 2021 | iclr | None |
| 350480 | Set Prediction without Imposing Structure as Conditional Density Estimation. | 2021 | iclr | None |
| 350479 | Rank the Episodes - A Simple Approach for Exploration in Procedurally-Generated Environments. | 2021 | iclr | None |
| 350478 | LEAF - A Learnable Frontend for Audio Classification. | 2021 | iclr | None |
| 350477 | Separation and Concentration in Deep Networks. | 2021 | iclr | None |
| 350476 | Discovering a set of policies for the worst case reward. | 2021 | iclr | None |
| 350475 | Self-supervised Visual Reinforcement Learning with Object-centric Representations. | 2021 | iclr | None |
| 350474 | SenSeI - Sensitive Set Invariance for Enforcing Individual Fairness. | 2021 | iclr | None |
| 350473 | A unifying view on implicit bias in training linear neural networks. | 2021 | iclr | None |
| 350472 | Private Image Reconstruction from System Side Channels Using Generative Models. | 2021 | iclr | None |
| 350471 | Growing Efficient Deep Networks by Structured Continuous Sparsification. | 2021 | iclr | None |
| 350470 | Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning. | 2021 | iclr | None |
| 350469 | Do not Let Privacy Overbill Utility - Gradient Embedding Perturbation for Private Learning. | 2021 | iclr | None |
| 350468 | Graph Information Bottleneck for Subgraph Recognition. | 2021 | iclr | None |
| 350467 | Self-Supervised Learning of Compressed Video Representations. | 2021 | iclr | None |
| 350466 | Dual-mode ASR - Unify and Improve Streaming ASR with Full-context Modeling. | 2021 | iclr | None |
| 350465 | Prediction and generalisation over directed actions by grid cells. | 2021 | iclr | None |
| 350464 | FedMix - Approximation of Mixup under Mean Augmented Federated Learning. | 2021 | iclr | None |
| 350463 | Winning the L2RPN Challenge - Power Grid Management via Semi-Markov Afterstate Actor-Critic. | 2021 | iclr | None |
| 350462 | Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. | 2021 | iclr | None |
| 350461 | Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. | 2021 | iclr | None |
| 350460 | Image Augmentation Is All You Need - Regularizing Deep Reinforcement Learning from Pixels. | 2021 | iclr | None |
| 350459 | Learning Structural Edits via Incremental Tree Transformations. | 2021 | iclr | None |
| 350458 | Hierarchical Autoregressive Modeling for Neural Video Compression. | 2021 | iclr | None |
| 350457 | Free Lunch for Few-shot Learning - Distribution Calibration. | 2021 | iclr | None |
| 350456 | Impact of Representation Learning in Linear Bandits. | 2021 | iclr | None |
| 350455 | Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. | 2021 | iclr | None |
| 350454 | BSQ - Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. | 2021 | iclr | None |
| 350453 | Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design. | 2021 | iclr | None |
| 350452 | Neural representation and generation for RNA secondary structures. | 2021 | iclr | None |
| 350451 | Policy-Driven Attack - Learning to Query for Hard-label Black-box Adversarial Examples. | 2021 | iclr | None |
| 350450 | Contrastive Divergence Learning is a Time Reversal Adversarial Game. | 2021 | iclr | None |
| 350449 | Multi-resolution modeling of a discrete stochastic process identifies causes of cancer. | 2021 | iclr | None |
| 350448 | How Neural Networks Extrapolate - From Feedforward to Graph Neural Networks. | 2021 | iclr | None |
| 350447 | Fast and Complete - Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers. | 2021 | iclr | None |
| 350446 | Understanding the role of importance weighting for deep learning. | 2021 | iclr | None |
| 350445 | Attentional Constellation Nets for Few-Shot Learning. | 2021 | iclr | None |
| 350444 | Anytime Sampling for Autoregressive Models via Ordered Autoencoding. | 2021 | iclr | None |
| 350443 | A Temporal Kernel Approach for Deep Learning with Continuous-time Information. | 2021 | iclr | None |
| 350442 | Robust and Generalizable Visual Representation Learning via Random Convolutions. | 2021 | iclr | None |
| 350441 | Learning Neural Generative Dynamics for Molecular Conformation Generation. | 2021 | iclr | None |
| 350440 | Learning Deep Features in Instrumental Variable Regression. | 2021 | iclr | None |
| 350439 | Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. | 2021 | iclr | None |
| 350438 | Nonseparable Symplectic Neural Networks. | 2021 | iclr | None |
| 350437 | Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. | 2021 | iclr | None |
| 350436 | MARS - Markov Molecular Sampling for Multi-objective Drug Discovery. | 2021 | iclr | None |
| 350435 | A Diffusion Theory For Deep Learning Dynamics - Stochastic Gradient Descent Exponentially Favors Flat Minima. | 2021 | iclr | None |
| 350434 | A Hypergradient Approach to Robust Regression without Correspondence. | 2021 | iclr | None |
| 350433 | In-N-Out - Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. | 2021 | iclr | None |