Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
Comments Advances in Neural Information Processing Systems (NeurIPS 2022)
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning
Comments Accepted to NeurIPS '22
SnAKe: Bayesian Optimization with Pathwise Exploration
Comments 10 main pages, 39 with appendix, 30 figures, 10 tables. Final camera-ready version for NeurIPS, with supplementary material included
Exploring the Latent Space of Autoencoders with Interventional Assays
Comments Published in NeurIPS 2022 Conference Proceedings
A Multi-Level Framework for the AI Alignment Problem
Comments ML Safety Workshop, 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Towards Multifaceted Human-Centered AI
Comments Workshop on Human-Centered AI at NeurIPS 2022
On The Fragility of Learned Reward Functions
Comments 5 pages, 2 figures, presented at the NeurIPS Deep RL and ML Safety Workshops
Stars: Tera-Scale Graph Building for Clustering and Graph Learning
Comments NeurIPS 2022
ELIAS: End-to-End Learning to Index and Search in Large Output Spaces
Comments 21 pages, 9 figures, NeurIPS 2022 camera-ready publication
Dynamic Tensor Product Regression
Comments NeurIPS 2022
ESA-Ariel Data Challenge NeurIPS 2022: Introduction to exo-atmospheric studies and presentation of the Atmospheric Big Challenge (ABC) Database
Comments 21 pages, Accepted in RASTI, challenge accepted in NeurIPS 2022. Database link: https://doi.org/10.5281/zenodo.6770103
Efficiently Training Low-Curvature Neural Networks
Comments NeurIPS 2022
Adaptive Data Debiasing through Bounded Exploration
Comments NeurIPS 2022
MAQA: A Multimodal QA Benchmark for Negation
Comments NeurIPS 2022 SyntheticData4ML Workshop
Automatic Differentiation of Programs with Discrete Randomness
Comments In Proceedings of NeurIPS 2022
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
Comments Accepted in 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks
Diffusion models as plug-and-play priors
Comments NeurIPS 2022; code: https://github.com/AlexGraikos/diffusion_priors
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
Comments 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks
Wasserstein Iterative Networks for Barycenter Estimation
Comments 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Exponential Family Model-Based Reinforcement Learning via Score Matching
Comments NeurIPS 2022
Fair Clustering Under a Bounded Cost
Comments Published in NeurIPS 2021
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
Comments Accepted paper for NeurIPS 2022
Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior
Comments 7 pages, 2 figures, presented at KR2ML workshop at NeurIPS 2020
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching
Comments 20 pages, 10 figures, NeurIPS 2022
Rethinking Value Function Learning for Generalization in Reinforcement Learning
Comments NeurIPS 2022 final camera-ready
A General Framework for Auditing Differentially Private Machine Learning
Comments NeurIPS 2022
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning
Comments Published at NeurIPS 2022
Provably Efficient Model-Free Constrained RL with Linear Function Approximation
Comments Accepted and Published at the 36th Neural Information Processing Systems (NeurIPS'22). Section J (where different episodes may start from different states) is added in this version
Constrained Langevin Algorithms with L-mixing External Random Variables
Comments 51 pages. Accepted by NeurIPS 2022. Corrected some errors during the reviewing process
A Classification of $G$-invariant Shallow Neural Networks
Comments 32 pages, 8 figures; accepted at NeurIPS 2022
