Federated Learning with Matched Averaging
Comments Accepted by ICLR 2020
期刊&会议
ICLR
International Conference on Learning Representations · 会议 · Machine Learning
Jelly Bean World: A Testbed for Never-Ending Learning
Comments Published as a conference paper at ICLR 2020
Journal ref International Conference on Learning Representations 2020
Extreme Classification via Adversarial Softmax Approximation
Comments Accepted for presentation at the Eighth International Conference on Learning Representations (ICLR 2020), https://openreview.net/forum?id=rJxe3xSYDS
Learning to Move with Affordance Maps
Comments Published at ICLR 2020. For code, see https://github.com/wqi/A2L
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
Comments Accepted to ICLR 2020
Neural Module Networks for Reasoning over Text
Comments Published in ICLR 2020 (International Conference on Learning Representations, 2020)
Generalization through Memorization: Nearest Neighbor Language Models
Comments ICLR 2020
Depth-Adaptive Transformer
Comments Published as a conference paper at ICLR 2020
The Local Elasticity of Neural Networks
Comments To appear in ICLR 2020
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
Comments Accepted in ICLR 2020 and NeurIPS Workshop on Deep RL 2019 / First two authors are equally contributed
Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks
Comments Published at ICLR 2020
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Comments Published at ICLR 2020
Reconstructing continuous distributions of 3D protein structure from cryo-EM images
Journal ref International Conference on Learning Representations (ICLR), 2020
GraphSAINT: Graph Sampling Based Inductive Learning Method
Comments Published at ICLR 2020; Code release: github.com/GraphSAINT/GraphSAINT
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
Comments Accepted to International Conference on Learning Representations (ICLR) 2020
The Shape of Data: Intrinsic Distance for Data Distributions
Comments Published in ICLR'2020
Fair Resource Allocation in Federated Learning
Comments ICLR 2020
Inductive Matrix Completion Based on Graph Neural Networks
Comments Accepted as a spotlight presentation at ICLR-2020
The Curious Case of Neural Text Degeneration
Comments Published in ICLR 2020
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition
Comments Published in "International Conference on Learning Representation (ICLR)" 2020
Generative Ratio Matching Networks
Comments ICLR 2020; Code: https://github.com/GRAM-nets
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
Comments ICLR 2020
Never Give Up: Learning Directed Exploration Strategies
Comments Published as a conference paper in ICLR 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Comments ICLR 2020 conference paper (spotlight)
Frequency-based Search-control in Dyna
Comments Accepted to ICLR 2020
Geom-GCN: Geometric Graph Convolutional Networks
Comments Published as a conference paper at ICLR 2020
Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning
Comments ICLR 2020, camera ready
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Comments Published as a conference paper at ICLR 2020. Code is available at https://github.com/AkariAsai/learning_to_retrieve_reasoning_paths
Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech
Comments Camera-ready version for ICLR
Learning from Explanations with Neural Execution Tree
Comments 18 pages, 8 figures, 12 tables. Published as a conference paper at ICLR 2020
