RISE: Robust Individualized Decision Learning with Sensitive Variables
Comments Accepted at NeurIPS 2022
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement
Comments ENLSP-II NeurIPS Workshop 2022, 6 pages
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data
Comments Published at the SyntheticData4ML Neurips workshop
Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests
Comments Accepted at NeurIPS 2022 Workshop on Causality for Real-world Impact; 8 pages of main text including references
The Expertise Problem: Learning from Specialized Feedback
Comments Accepted to the ML Safety Workshop, NeurIPS 2022
Social Construction of XAI: Do We Need One Definition to Rule Them All?
Comments Accepted to NeurIPS workshop on Human-centered AI
The Implicit Delta Method
Comments 18 pages, NeurIPS 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
Comments NeurIPS 2022
Recurrent Video Restoration Transformer with Guided Deformable Attention
Comments Accepted by NeurIPS 2022. Code: https://github.com/JingyunLiang/RVRT
A 3D Generative Model for Structure-Based Drug Design
Comments Accepted to NeurIPS 2021
Posterior Matching for Arbitrary Conditioning
Comments Accepted at NeurIPS 2022
Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion
Comments This is the full version of a paper which was accepted to NeurIPS 2022
Striving for data-model efficiency: Identifying data externalities on group performance
Comments 9 pages, 3 figures. Trustworthy and Socially Responsible Machine Learning (TSRML 2022) workshop co-located with NeurIPS 2022
A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs
Comments Last two authors contributed equally. To be published at New Frontiers In Graph Learning, Neurips 2022
Towards Improved Learning in Gaussian Processes: The Best of Two Worlds
Comments In the 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models
Comments 3.5 pages, with appendix. Medical Imaging Meets NeurIPS Workshop 2022 Camera Ready
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation
Comments 4 pages, Robot Learning Workshop @ NeurIPS 2022
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression
Comments 5 pages, with appendix. RobustSeq @ NeurIPS 2022 Camera Ready
From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning
Comments Accepted paper for Medical Imaging meet NeurIPS (MedNeurIPS) Workshop 2022
Climate Policy Tracker: Pipeline for automated analysis of public climate policies
Comments Accepted for Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022
Strong Lensing Parameter Estimation on Ground-Based Imaging Data Using Simulation-Based Inference
Comments Accepted to the Workshop on Machine Learning and the Physical Sciences at the 36th Conference on Neural Information Processing Systems 2022 (NeurIPS 2022)
Harmonizing the object recognition strategies of deep neural networks with humans
Comments Published at NeurIPS 2022
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
Comments 3 figures, 1 table; accepted to Machine Learning and the Physical Sciences - Workshop at the 36th conference on Neural Information Processing Systems (NeurIPS)
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network
Comments Accepted at NeurIPS 2022
Continual VQA for Disaster Response Systems
Comments Accepted at Tackling Climate Change with Machine Learning workshop at NeurIPS 2022
Short-range forecasts of global precipitation using deep learning-augmented numerical weather prediction
Comments Accepted at Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022
Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates
Comments 9 pages, 5 figures, "Has it Trained Yet?" Workshop at NeurIPS 2022
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
Comments Accepted at NeurIPS 2022
Sampling from Log-Concave Distributions with Infinity-Distance Guarantees
Comments This is the full version of a paper which was accepted to NeurIPS 2022
AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies
Comments Accepted by NeurIPS 2022 Track on Dataset and Benchmark
