NeurIPS

ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation

Zhitong Gao, Shipeng Yan, Xuming He

Comments Published in NeurIPS 2023

Video-Mined Task Graphs for Keystep Recognition in Instructional Videos

Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman

Comments NeurIPS 2023

Neural Image Compression: Generalization, Robustness, and Spectral Biases

Kelsey Lieberman, James Diffenderfer, Charles Godfrey, Bhavya Kailkhura

Comments NeurIPS 2023

Enhancing Adversarial Robustness via Score-Based Optimization

Boya Zhang, Weijian Luo, Zhihua Zhang

Comments NeurIPS 2023

Goal-Conditioned Predictive Coding for Offline Reinforcement Learning

Zilai Zeng, Ce Zhang, Shijie Wang, Chen Sun

Comments NeurIPS 2023, Project Website: https://brown-palm.github.io/GCPC/

Conditional independence testing under misspecified inductive biases

Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee

Comments NeurIPS 2023 proceedings

JourneyDB: A Benchmark for Generative Image Understanding

Keqiang Sun, Junting Pan, Yuying Ge, Hao Li, Haodong Duan, Xiaoshi Wu, Renrui Zhang, Aojun Zhou, Zipeng Qin, Yi Wang, Jifeng Dai, Yu Qiao, Limin Wang, Hongsheng Li

Comments Accepted to the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs

Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin Murphy, Alexander G. Hauptmann, Lu Jiang

Comments NeurIPS 2023 spotlight

On the Exploitability of Instruction Tuning

Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein

Comments NeurIPS 2023 camera-ready (21 pages, 10 figures)

Accelerating Molecular Graph Neural Networks via Knowledge Distillation

Filip Ekström Kelvinius, Dimitar Georgiev, Artur Petrov Toshev, Johannes Gasteiger

Comments Accepted as a conference paper at NeurIPS 2023

Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization

Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang

Comments NeurIPS 2023

Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation

Zihao Yue, Anwen Hu, Liang Zhang, Qin Jin

Comments Accepted to NeurIPS 2023

SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning

Yunxiang Zhang, Xiaojun Wan

Comments Accepted to NeurIPS 2023 Datasets and Benchmarks Track

Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations

Hammaad Adam, Fan Yin, Huibin, Hu, Neil Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke

Comments NeurIPS 2023 (spotlight)

MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting

Felix Biggs, Antonin Schrab, Arthur Gretton

Comments 38 pages,8 figures, 1 table

Journal ref 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem

Tal Amir, Steven J. Gortler, Ilai Avni, Ravina Ravina, Nadav Dym

Comments NeurIPS 2023 camera-ready

Strategic Apple Tasting

Keegan Harris, Chara Podimata, Zhiwei Steven Wu

Comments In the thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

Adaptive Contextual Perception: How to Generalize to New Backgrounds and Ambiguous Objects

Zhuofan Ying, Peter Hase, Mohit Bansal

Comments Published at NeurIPS 2023. 23 pages, 13 figures. Our code is available at https://github.com/zfying/AdaptiveContext

SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions

Yuseung Lee, Kunho Kim, Hyunjin Kim, Minhyuk Sung

Comments Accepted to NeurIPS 2023. Project page: https://syncdiffusion.github.io

Robust Learning with Progressive Data Expansion Against Spurious Correlation

Yihe Deng, Yu Yang, Baharan Mirzasoleiman, Quanquan Gu

Comments 22 pages, 7 figures, 11 tables. In NeurIPS 2023

Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation

Berivan Isik, Wei-Ning Chen, Ayfer Ozgur, Tsachy Weissman, Albert No

Comments Published at the Conference on Neural Information Processing Systems (NeurIPS), 2023

Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings (Extended Version)

Pulkit Verma, Rushang Karia, Siddharth Srivastava

Comments NeurIPS 2023

Fast Partitioned Learned Bloom Filter

Atsuki Sato, Yusuke Matsui

Comments NeurIPS 2023

Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective

Yingying Fan, Yu Wu, Bo Du, Yutian Lin

Comments Accepted to NeurIPS 2023

Nonparametric Identifiability of Causal Representations from Unknown Interventions

Julius von Kügelgen, Michel Besserve, Liang Wendong, Luigi Gresele, Armin Kekić, Elias Bareinboim, David M. Blei, Bernhard Schölkopf

Comments NeurIPS 2023 camera-ready version; 36 pages, 4 figures

Improving CLIP Training with Language Rewrites

Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian

Comments NeurIPS 2023

Replicability in Reinforcement Learning

Amin Karbasi, Grigoris Velegkas, Lin F. Yang, Felix Zhou

Comments to be published in neurips 2023

Compression with Bayesian Implicit Neural Representations

Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato

Comments Accepted as a Spotlight paper in NeurIPS 2023. Updated camera-ready version

LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images

Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman

Comments NeurIPS 2023 camera ready. Project webpage: https://virajprabhu.github.io/lance-web/

Conditional score-based diffusion models for Bayesian inference in infinite dimensions

Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop

Comments NeurIPS 2023 (Spotlight)