NeurIPS

TweetNERD -- End to End Entity Linking Benchmark for Tweets

Shubhanshu Mishra, Aman Saini, Raheleh Makki, Sneha Mehta, Aria Haghighi, Ali Mollahosseini

Comments 19 pages, 2 figures. Accepted to Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track 2022. Data available at: https://doi.org/10.5281/zenodo.6617192 under Creative Commons Attribution 4.0 International (CC BY 4.0) license. Check out more details at https://github.com/twitter-research/TweetNERD

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again

Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang

Comments Advances in Neural Information Processing Systems (NeurIPS), 2022

Movement Penalized Bayesian Optimization with Application to Wind Energy Systems

Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic

Comments Accepted to NeurIPS 2022

Zonotope Domains for Lagrangian Neural Network Verification

Matt Jordan, Jonathan Hayase, Alexandros G. Dimakis, Sewoong Oh

Comments Accepted into NeurIPS 2022. Code: https://github.com/revbucket/dual-verification

Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties

Zeren Shui, Daniel S. Karls, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, George Karypis

Comments To appear as a conference paper at NeurIPS 2022

Brain Network Transformer

Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang

Comments Accepted to NeurIPS 2022. The previous version is accepted for Workshop ICML-IMLH 2022 (Oral, no proceedings)

On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning

Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara

Comments 22 pages, 8 figures, typos corrected. Accepted at the thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, US

Generalised Mutual Information for Discriminative Clustering

Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frederic Precioso

Comments To be published in Neural Information Processing Systems 2022

Emergent Communication: Generalization and Overfitting in Lewis Games

Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub

Comments 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts

Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Yogatheesan Varatharajah

Comments NeurIPS 2022 camera ready version. Code available at https://github.com/neerajwagh/evaluating-eeg-representations. tl;dr - We develop model diagnostic measures to identify failure modes of EEG-ML models before deployment without access to out-of-distribution data. Keywords - dataset shift, EEG, representation learning, robustness, latent space, uncertainty quantification, distribution shift

GAMA: Generative Adversarial Multi-Object Scene Attacks

Abhishek Aich, Calvin-Khang Ta, Akash Gupta, Chengyu Song, Srikanth V. Krishnamurthy, M. Salman Asif, Amit K. Roy-Chowdhury

Comments Accepted at NeurIPS 2022; First two authors contributed equally; Includes Supplementary Material

Distinguishing Learning Rules with Brain Machine Interfaces

Jacob P. Portes, Christian Schmid, James M. Murray

Comments 24 pages, 14 figures. Final version, published at NeurIPS 2022

Ordered Subgraph Aggregation Networks

Chendi Qian, Gaurav Rattan, Floris Geerts, Christopher Morris, Mathias Niepert

Comments Accepted at NeurIPS 2022. Fixed link to code repository

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu

Comments NeurIPS 2022. Benchmark available at https://github.com/pygod-team/pygod/tree/main/benchmark

Near-Optimal No-Regret Learning Dynamics for General Convex Games

Gabriele Farina, Ioannis Anagnostides, Haipeng Luo, Chung-Wei Lee, Christian Kroer, Tuomas Sandholm

Comments To appear at NeurIPS 2022. V2 incorporates reviewers' feedback

k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension

Ziv Goldfeld, Kristjan Greenewald, Theshani Nuradha, Galen Reeves

Comments Accepted at NeurIPS 2022

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik

Comments Accepted by NeruIPS 2022; 32pages (14 pages main paper + 18 pages supplementary materials). Code: https://github.com/mims-harvard/TFC-pretraining

Journal ref NeurIPS 2022

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline

Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao

Comments Accepted at NeurIPS 2022

Rethinking Generalization in Few-Shot Classification

Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond

Comments Accepted at NeurIPS 2022. Code available at https://github.com/mrkshllr/FewTURE

On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation

Markus Hiller, Mehrtash Harandi, Tom Drummond

Comments Accepted at NeurIPS 2022

An Empirical Study on Disentanglement of Negative-free Contrastive Learning

Jinkun Cao, Ruiqian Nai, Qing Yang, Jialei Huang, Yang Gao

Comments Accepted to NeurIPS 2022; 10 pages main text + 15 pages appendix

Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime

Benjamin Bowman, Guido Montufar

Comments 38 pages, 1 figure, to be published in NeurIPS 2022

Active Bayesian Causal Inference

Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen

Comments NeurIPS 2022 camera-ready version. RP & JvK are shared last authors. 10 pages + Bibliography + Appendix (34 pages total)

Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis

Ronan Perry, Julius von Kügelgen, Bernhard Schölkopf

Comments NeurIPS 2022 camera-ready version. JvK and BS are shared last authors. 10 pages + Bibliography + Appendix (26 pages total)

Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees

Ruikun Zhou, Thanin Quartz, Hans De Sterck, Jun Liu

Comments NeurIPS 2022

Squeezeformer: An Efficient Transformer for Automatic Speech Recognition

Sehoon Kim, Amir Gholami, Albert Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer

Comments NeurIPS 2022

Multi-Game Decision Transformers

Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Winnie Xu, Sergio Guadarrama, Ian Fischer, Eric Jang, Henryk Michalewski, Igor Mordatch

Comments NeurIPS 2022. 24 pages, 16 figures. Additional information, videos and code can be seen at https://sites.google.com/view/multi-game-transformers

Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge

Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu

Comments 28 pages, 6 figures, accepted to Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)

BagFlip: A Certified Defense against Data Poisoning

Yuhao Zhang, Aws Albarghouthi, Loris D'Antoni

Comments Neurips 2022

AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Shoufa Chen, Chongjian Ge, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang, Ping Luo

Comments Accepted by NeurIPS 2022. Code: https://github.com/ShoufaChen/AdaptFormer