NeurIPS

Procedural generation of meta-reinforcement learning tasks

Thomas Miconi

Comments Agent Learning in Open-Endedness (ALOE) Workshop at NeurIPS 2023

Binarized Neural Machine Translation

Yichi Zhang, Ankush Garg, Yuan Cao, Łukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat

Journal ref Published at NeurIPS 2023

Ethical Considerations for Responsible Data Curation

Jerone T. A. Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Alice Xiang

Comments NeurIPS 2023 Track on Datasets and Benchmarks (Oral)

Mathematical Capabilities of ChatGPT

Simon Frieder, Luca Pinchetti, Alexis Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, Julius Berner

Comments Added further evaluations on another ChatGPT version and on GPT-4. The GHOSTS and miniGHOSTS datasets are available at https://github.com/xyfrieder/science-GHOSTS

Journal ref NeurIPS 2023 Datasets and Benchmarks

Policy Gradient for Rectangular Robust Markov Decision Processes

Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Levy, Shie Mannor

Comments Accepted to NeurIPS 2023

Supply-Side Equilibria in Recommender Systems

Meena Jagadeesan, Nikhil Garg, Jacob Steinhardt

Comments Appeared at NeurIPS 2023; this is the full version

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems

Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu

Comments In NeurIPS 2021

Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration

Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye

Comments Accepted to NeurIPS 2023. Code is available at: https://github.com/wangkiw/TEEN

BayesDAG: Gradient-Based Posterior Inference for Causal Discovery

Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong

Comments NeurIPS 2023

Investigating how ReLU-networks encode symmetries

Georg Bökman, Fredrik Kahl

Comments NeurIPS camera ready

A Negative Result on Gradient Matching for Selective Backprop

Lukas Balles, Cedric Archambeau, Giovanni Zappella

Comments Paper accepted at the ICBINB Workshop at NeurIPS 2023

Induced Generative Adversarial Particle Transformers

Anni Li, Venkat Krishnamohan, Raghav Kansal, Rounak Sen, Steven Tsan, Zhaoyu Zhang, Javier Duarte

Comments 5 pages, 3 figures, 2 tables, to appear in the workshop on Machine Learning and the Physical Sciences (NeurIPS 2023)

Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks

Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou, Ling Cai, Nathalie Baracaldo

Comments 19 pages, 6 figures. Published at NeurIPS 2023 Workshop on Backdoors in Deep Learning: The Good, the Bad, and the Ugly

A Brief Tutorial on Sample Size Calculations for Fairness Audits

Harvineet Singh, Fan Xia, Mi-Ok Kim, Romain Pirracchio, Rumi Chunara, Jean Feng

Comments 4 pages, 1 figure, 1 table, Workshop on Regulatable Machine Learning at the 37th Conference on Neural Information Processing Systems

Train 'n Trade: Foundations of Parameter Markets

Tzu-Heng Huang, Harit Vishwakarma, Frederic Sala

Comments accepted at NeurIPS 2023

Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning

Sabrina McCallum, Max Taylor-Davies, Stefano V. Albrecht, Alessandro Suglia

Comments Accepted at Workshop on Goal-conditioned Reinforcement Learning, NeurIPS 2023

Error Discovery by Clustering Influence Embeddings

Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan

Comments NeuRIPs 2023 conference paper

PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction

Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar

Comments NeurIPS 2023

Transferable Candidate Proposal with Bounded Uncertainty

Kyeongryeol Go, Kye-Hyeon Kim

Comments Accepted in NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World

Spectral Temporal Contrastive Learning

Sacha Morin, Somjit Nath, Samira Ebrahimi Kahou, Guy Wolf

Comments Accepted to Self-Supervised Learning - Theory and Practice, NeurIPS Workshop, 2023

Skilful Precipitation Nowcasting Using NowcastNet

Ajitabh Kumar

Comments NeurIPS 2023

Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory

Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain

Comments Spotlight Paper at NeurIPS 2023

Balancing utility and cognitive cost in social representation

Max Taylor-Davies, Christopher G. Lucas

Comments Workshop on Information-Theoretic Principles in Cognitive Systems, NeurIPS 2023

FIND: A Function Description Benchmark for Evaluating Interpretability Methods

Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba

Comments 28 pages, 10 figures

Journal ref NeurIPS 2023

The Distortion of Binomial Voting Defies Expectation

Yannai A. Gonczarowski, Gregory Kehne, Ariel D. Procaccia, Ben Schiffer, Shirley Zhang

Comments NeurIPS 2023

Causal normalizing flows: from theory to practice

Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera

Comments 32 pages, 15 figures. Accepted as an Oral presentation at NeurIPS 2023

When Does Optimizing a Proper Loss Yield Calibration?

Jarosław Błasiok, Parikshit Gopalan, Lunjia Hu, Preetum Nakkiran

Comments In NeurIPS 2023. Selected for spotlight presentation

ALGO: Synthesizing Algorithmic Programs with LLM-Generated Oracle Verifiers

Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li

Comments NeurIPS 2023

Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars

Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter

Comments NeurIPS 2023

Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants

Andrew M. Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang, Ruizhe Zhang

Comments To appear in the proceedings of NeurIPS 2022

Journal ref Advances in Neural Information Processing Systems (NeurIPS 2022) 35, 23205 (2022)