Beyond Black Box Densities: Parameter Learning for the Deviated Components
Comments Accepted at NeurIPS 2022. Dat Do and Nhat Ho contributed equally to this work
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
Comments NeurIPS 2022. Source code: https://github.com/Vanint/SADE-AgnosticLT
The Information Bottleneck Principle in Corporate Hierarchies
Comments To appear in the Information-Theoretic Principles in Cognitive Systems Workshop at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022). 7 pages, 2 figures
Synthetic Tumors Make AI Segment Tumors Better
Comments NeurIPS Workshop on Medical Imaging Meets NeurIPS, 2022
Streaming Radiance Fields for 3D Video Synthesis
Comments Accepted at NeurIPS 2022
Sparsity in Continuous-Depth Neural Networks
Comments Neurips 2022
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering
Comments Accepted to NeurIPS 2022, 32 pages
Scaling Laws Beyond Backpropagation
Comments I Can't Believe It's Not Better Workshop, NeurIPS 2022
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
Comments This work has been accepted at Proceedings of the Neurips 2022 Workshop on Synthetic Data 4ML
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data
Comments Accepted at NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research (Neurips 2022 SyntheticData4ML)
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
Comments Accepted in Conference on Neural Information Processing Systems (NeurIPS 2022)
Exploring the Whole Rashomon Set of Sparse Decision Trees
Comments NeurIPS 2022 (Oral)
On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition
Comments Accepted to NeurIPS 2022 Workshop on Vision Transformers: Theory and applications (VTTA)
Pre-Training a Graph Recurrent Network for Language Representation
Comments NeurIPS Efficient Natural Language and Speech Processing (ENLSP) Workshop 2022
Automatic Sleep Scoring from Large-scale Multi-channel Pediatric EEG
Comments Learning from Time Series for Health. Workshop at NeurIPS 2022
Conformal Off-Policy Prediction in Contextual Bandits
Comments Proceedings of 36th Conference on Neural Information Processing System (NeurIPS 2022)
Certified Robustness in Federated Learning
Comments Accepted at Workshop on Federated Learning: Recent Advances and New Challenges, NeurIPS 2022
Enhanced Bilevel Optimization via Bregman Distance
Comments Published in NeurIPS 2022
Parameter elimination in particle Gibbs sampling
Journal ref Advances in Neural Information Processing Systems 32 (NeurIPS 2019)
A single-cell gene expression language model
Comments 10 pages, 5 figures, Accepted at Learning Meaningful Representations of Life Workshop, 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets
Comments Accepted to NeurIPS workshop (VTTA) 2022
Accelerating Certified Robustness Training via Knowledge Transfer
Comments NeurIPS '22 Camera Ready version (with appendix)
Towards a non-Gaussian Generative Model of large-scale Reionization Maps
Comments 7 pages, 3 figures, accept in Machine Learning and the Physical Sciences workshop at NeurIPS 2022
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives
Comments NeurIPS 2022 (first two authors contributed equally)
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Comments In Neural Information Processing Systems (NeurIPS) 2022
Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Comments In Neural Information Processing Systems (NeurIPS) 2022
Characterizing information loss in a chaotic double pendulum with the Information Bottleneck
Comments NeurIPS 2022 workshop paper (Machine learning and the physical sciences); project page: distributed-information-bottleneck.github.io
Useful Confidence Measures: Beyond the Max Score
Comments Short paper; appeared in the Workshop on Distribution Shifts @ NeurIPS 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows
Comments Proceedings of 36th Conference on Neural Information Processing System (NeurIPS 2022)
This joke is [MASK]: Recognizing Humor and Offense with Prompting
Comments Transfer Learning for Natural Language Processing Workshop at NeurIPS 2022
