NeurIPS

Tackling Concept Shift in Text Classification using Entailment-style Modeling

Sumegh Roychowdhury, Karan Gupta, Siva Rajesh Kasa, Prasanna Srinivasa Murthy, Alok Chandra

Journal ref NeurIPS 2023 - Workshop on Distribution Shifts

LDM3D-VR: Latent Diffusion Model for 3D VR

Gabriela Ben Melech Stan, Diana Wofk, Estelle Aflalo, Shao-Yen Tseng, Zhipeng Cai, Michael Paulitsch, Vasudev Lal

Comments Accepted to Workshop on Diffusion Models, NeurIPS 2023

Variational Weighting for Kernel Density Ratios

Sangwoong Yoon, Frank C. Park, Gunsu S Yun, Iljung Kim, Yung-Kyun Noh

Comments NeurIPS 2023

The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning

Artyom Gadetsky, Maria Brbic

Comments NeurIPS 2023 camera-ready

Exploiting Correlated Auxiliary Feedback in Parameterized Bandits

Arun Verma, Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low

Comments Accepted to NeurIPS 2023

Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning

Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang

Comments NeurIPS 2023

Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones

Asanobu Kitamoto, Jared Hwang, Bastien Vuillod, Lucas Gautier, Yingtao Tian, Tarin Clanuwat

Comments Accepted by NeurIPS 2023 Datasets and Benchmarks Track (Spotlight)

Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series

Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang

Comments Accepted by NeurIPS 2023; 24pages (13 pages main paper + 11 pages supplementary materials)

Journal ref NeurIPS 2023

MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks

Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley

Comments Accepted as a full paper at NeurIPS 2023 in New Orleans, USA

Active Learning for Semantic Segmentation with Multi-class Label Query

Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak

Comments NeurIPS 2023 accepted

Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation

Hongcheng Wang, Andy Guan Hong Chen, Xiaoqi Li, Mingdong Wu, Hao Dong

Comments NeurIPS 2023; Project page:https://sites.google.com/view/demand-driven-navigation; Code: https://github.com/whcpumpkin/Demand-driven-navigation

Towards Symmetry-Aware Generation of Periodic Materials

Youzhi Luo, Chengkai Liu, Shuiwang Ji

Comments Accepted by NeurIPS 2023 as a spotlight paper

What Truly Matters in Trajectory Prediction for Autonomous Driving?

Phong Tran, Haoran Wu, Cunjun Yu, Panpan Cai, Sifa Zheng, David Hsu

Comments NeurIPS 2023

Computing a human-like reaction time metric from stable recurrent vision models

Lore Goetschalckx, Lakshmi Narasimhan Govindarajan, Alekh Karkada Ashok, Aarit Ahuja, David L. Sheinberg, Thomas Serre

Comments Published at NeurIPS 2023

Practical Equivariances via Relational Conditional Neural Processes

Daolang Huang, Manuel Haussmann, Ulpu Remes, ST John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi

Comments 38 pages, 8 figures. Accepted at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Norm-guided latent space exploration for text-to-image generation

Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik

Comments Accepted to NeurIPS 2023

FLSL: Feature-level Self-supervised Learning

Qing Su, Anton Netchaev, Hai Li, Shihao Ji

Comments Published as a main conference paper at NeurIPS 2023

Finding Counterfactually Optimal Action Sequences in Continuous State Spaces

Stratis Tsirtsis, Manuel Gomez-Rodriguez

Comments Accepted at NeurIPS 2023

For SALE: State-Action Representation Learning for Deep Reinforcement Learning

Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Shane Gu, Doina Precup, David Meger

Comments NeurIPS 2023

Active Vision Reinforcement Learning under Limited Visual Observability

Jinghuan Shang, Michael S. Ryoo

Comments NeurIPS 2023. Project page at https://elicassion.github.io/sugarl/sugarl.html Code at https://github.com/elicassion/sugarl Environment library at https://github.com/elicassion/active-gym

Gaussian Process Probes (GPP) for Uncertainty-Aware Probing

Zi Wang, Alexander Ku, Jason Baldridge, Thomas L. Griffiths, Been Kim

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

Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models

Waïss Azizian, Franck Iutzeler, Jérôme Malick

Comments 49 pages, 2 figures; to be presented at the 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023)

Journal ref 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), Dec 2023, New Orleans, United States

Neural (Tangent Kernel) Collapse

Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou

Journal ref Proceedings of the 37th Conference on Neural Information Processing Systems, 2023

Differentiable Clustering with Perturbed Spanning Forests

Lawrence Stewart, Francis S Bach, Felipe Llinares López, Quentin Berthet

Journal ref 37th Conference on Neural Information Processing Systems, Dec 2023, New Orleans, United States

An $\varepsilon$-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond

Marc Jourdan, Rémy Degenne, Emilie Kaufmann

Comments 68 pages, 14 figures, 4 tables. To be published in the Thirty-seventh Conference on Neural Information Processing Systems

DreamWaltz: Make a Scene with Complex 3D Animatable Avatars

Yukun Huang, Jianan Wang, Ailing Zeng, He Cao, Xianbiao Qi, Yukai Shi, Zheng-Jun Zha, Lei Zhang

Comments To appear in NeurIPS 2023; Project page: https://dreamwaltz3d.github.io/

C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He

Comments NeurIPS 2023. Website: https://cevalbenchmark.com

RECKONING: Reasoning through Dynamic Knowledge Encoding

Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut

Comments 22 pages, 8 figures, 10 tables, Accepted to NeurIPS 2023

Evaluating Neuron Interpretation Methods of NLP Models

Yimin Fan, Fahim Dalvi, Nadir Durrani, Hassan Sajjad

Comments Accepted to NeurIPS 2023

What Knowledge Gets Distilled in Knowledge Distillation?

Utkarsh Ojha, Yuheng Li, Anirudh Sundara Rajan, Yingyu Liang, Yong Jae Lee

Comments NeurIPS 2023 camera ready