Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models
Comments Accepted at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Cumulo: A Dataset for Learning Cloud Classes
Journal ref Tackling Climate Change with Machine Learning Workshop, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Comments Accepted by NeurIPS 2022 Datasets and Benchmarks Track. Codebase: https://github.com/Jingkang50/OpenOOD
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning
Comments Camera ready. NeurIPS 2022
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces
Comments Accepted by NeurIPS 2022
Sustainable Online Reinforcement Learning for Auto-bidding
Comments NeurIPS 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
Comments NeurIPS 2022
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
Comments Accepted by NeurIPS 2022
SageMix: Saliency-Guided Mixup for Point Clouds
Comments Neural Information Processing Systems (NeurIPS), 2022
A Lower Bound of Hash Codes' Performance
Comments Accepted to NeurIPS 2022
Understanding the Failure of Batch Normalization for Transformers in NLP
Comments 17 pages, 11 figures, NeurIPS 2022
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again
Comments Accepted By NeurIPS 2022
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Comments Accepted to NeurIPS 2022
Peripheral Vision Transformer
Comments Accepted to NeurIPS 2022
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
Comments Accepted to NeurIPS 2022
Compressible-composable NeRF via Rank-residual Decomposition
Comments NeurIPS 2022 camera-ready version
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
Comments 17 pages, 9 figures, Accepted at NeurIPS 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Journal ref Advances in Neural Information Processing Systems 2022 (NeurIPS22)
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation
Comments Accepted at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022). The first two authors contributed equally to this work
DDXPlus: A New Dataset For Automatic Medical Diagnosis
Comments Camera ready. NeurIPS 2022 Datasets and Benchmarks Track
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech
Comments Accepted to NeurIPS 2022
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
Comments Accepted by NeurIPS 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
Comments NeurIPS 2022
SAE: Sequential Anchored Ensembles
Comments 4 pages, NeurIPS 2021 Bayesian Deep Learning workshop
Continual Learning In Environments With Polynomial Mixing Times
Comments Accepted at NeurIPS 2022
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Comments Accepted at NeurIPS 2022
Scale-invariant Learning by Physics Inversion
Comments NeurIPS 2022 version, appendix included
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications
Comments Appears in NeurIPS 2022
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
Comments NeurIPS 2022
Feature-Proxy Transformer for Few-Shot Segmentation
Comments NeurIPS 2022. Code available: https://github.com/Jarvis73/FPTrans
