NeurIPS 2023 Conference Submissions

Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models
Deepak Narayanan, Keshav Santhanam, Peter Henderson, Rishi Bommasani, Tony Lee, Percy Liang
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
PHOTOSWAP: Personalized Subject Swapping in Images
Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, HE Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang
- Published: 21 Sept 2023, Last Modified: 26 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Unpaired Multi-Domain Causal Representation Learning
Nils Sturma, Chandler Squires, Mathias Drton, Caroline Uhler
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Characterization and Learning of Causal Graphs with Small Conditioning Sets
Murat Kocaoglu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Active Learning for Semantic Segmentation with Multi-class Label Query
Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Does a sparse ReLU network training problem always admit an optimum ?
TUNG QUOC LE, Rémi Gribonval, Elisa Riccietti
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Thinker: Learning to Plan and Act
Stephen Chung, Ivan Anokhin, David Krueger
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
Xiran Fan, Chun-Hao Yang, Baba C. Vemuri
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
PRODIGY: Enabling In-context Learning Over Graphs
Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Coordinating Distributed Example Orders for Provably Accelerated Training
A. Feder Cooper, Wentao Guo, Khiem Pham, Tiancheng Yuan, Charlie F. Ruan, Yucheng Lu, Christopher De Sa
- Published: 21 Sept 2023, Last Modified: 18 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
Vladislav Lialin, Sherin Muckatira, Namrata Shivagunde, Anna Rumshisky
- 09 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout
Irene Wang, Prashant J. Nair, Divya Mahajan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Explainable Brain Age Prediction using coVariance Neural Networks
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Don’t just prune by magnitude! Your mask topology is a secret weapon
Duc N.M Hoang, Souvik Kundu, Shiwei Liu, Zhangyang Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V Albrecht
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Learning with Explanation Constraints
Rattana Pukdee, Dylan Sam, J Zico Kolter, Nina Balcan, Pradeep Kumar Ravikumar
- Published: 21 Sept 2023, Last Modified: 22 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Locality-Aware Generalizable Implicit Neural Representation
Doyup Lee, Chiheon Kim, Minsu Cho, Wook-Shin Han
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Language Semantic Graph Guided Data-Efficient Learning
Wenxuan Ma, Shuang Li, Lincan Cai, Jingxuan Kang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Compression with Bayesian Implicit Neural Representations
Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Yingjun Du, Zehao Xiao, Shengcai Liao, Cees G. M. Snoek
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes
Aran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri, Guangyu Robert Yang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs
Dmitry Chistikov, Matthias Englert, Ranko Lazic
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy
Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Transfer learning for atomistic simulations using GNNs and kernel mean embeddings
John Isak Texas Falk, Luigi Bonati, Pietro Novelli, Michele Parrinello, Massimiliano Pontil
- Published: 21 Sept 2023, Last Modified: 28 Feb 2025
- NeurIPS 2023 poster
- Readers: Everyone