NeurIPS

Prediction and Control in Continual Reinforcement Learning

Nishanth Anand, Doina Precup

Comments Published at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

In-Context Exemplars as Clues to Retrieving from Large Associative Memory

Jiachen Zhao

Comments Presented at Neural Conversational AI @ ICML 2023 and Associative Memory & Hopfield Networks @ NeurIPS 2023

AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs

Yann Hicke, Anmol Agarwal, Qianou Ma, Paul Denny

Comments Updates for camera-ready submission

Journal ref NeurIPS Workshop on Generative AI for Education (GAIED), 2023

BioSpark: An End-to-End Generative System for Biological-Analogical Inspirations and Ideation

Hyeonsu B. Kang, David Chuan-En Lin, Nikolas Martelaro, Aniket Kittur, Yan-Ying Chen, Matthew K. Hong

Comments NeurIPS 2023 Workshop on Machine Learning for Creativity and Design

ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding

Lunhao Duan, Shanshan Zhao, Nan Xue, Mingming Gong, Gui-Song Xia, Dacheng Tao

Comments NeurIPS 2023. Code: https://github.com/LHDuan/ConDaFormer

Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs

Kevin Course, Prasanth B. Nair

Comments In Advances in Neural Information Processing Systems. 2023

Spatial-Temporal DAG Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification

Rui Yang, Wenrui Dai, Huajun She, Yiping P. Du, Dapeng Wu, Hongkai Xiong

Comments Accepted by NeurIPS 2023 Temporal Graph Learning Workshop

scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data

Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Dapeng Wu, Hongkai Xiong

Comments Accepted by NeurIPS 2023 AI for Science Workshop

WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data

Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian Foster, Bo Li, Rick Stevens, Ce Zhang

Comments NeurIPS 2023 Datasets and Benchmarks

Student as an Inherent Denoiser of Noisy Teacher

Jiachen Zhao

Comments The Third NeurIPS Workshop on Efficient Natural Language and Speech Processing

Assessing LLMs for Moral Value Pluralism

Noam Benkler, Drisana Mosaphir, Scott Friedman, Andrew Smart, Sonja Schmer-Galunder

Comments Accepted Paper to workshop on "AI meets Moral Philosophy and Moral Psychology: An Interdisciplinary Dialogue about Computational Ethics" at NeurIPS 2023

A collection of principles for guiding and evaluating large language models

Konstantin Hebenstreit, Robert Praas, Matthias Samwald

Comments Accepted at Socially Responsible Language Modelling Research (SoLaR) workshop, NeurIPS 2023 (https://openreview.net/forum?id=8iXdNXW34d). Based on previous manuscript version: doi:10.2139/ssrn.4446991

RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency

Zhuoman Liu, Bo Yang, Yan Luximon, Ajay Kumar, Jinxi Li

Comments Added the last 3 authors in the camera-ready version. NeurIPS 2023. Code and data are available at: https://github.com/vLAR-group/RayDF

ReConTab: Regularized Contrastive Representation Learning for Tabular Data

Suiyao Chen, Jing Wu, Naira Hovakimyan, Handong Yao

Journal ref Neural Information Processing Systems (NeurIPS) Workshop, 2023

Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning

William Yik, Maike Sonnewald, Mariana C. A. Clare, Redouane Lguensat

Comments 14 pages, 11 figures, NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning

Does Visual Pretraining Help End-to-End Reasoning?

Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid

Comments NeurIPS 2023

What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation

Benedikt Blumenstiel, Johannes Jakubik, Hilde Kühne, Michael Vössing

Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks

Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean

Spyros Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis

Comments Accepted at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks (oral presentation)

Learning Linear Causal Representations from Interventions under General Nonlinear Mixing

Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar

Comments Accepted as Oral paper at NeurIPS 2023

Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

Emanuele Marconato, Stefano Teso, Antonio Vergari, Andrea Passerini

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

Interactive Visual Feature Search

Devon Ulrich, Ruth Fong

Comments NeurIPS XAI in Action Workshop 2023

FO-PINNs: A First-Order formulation for Physics Informed Neural Networks

Rini J. Gladstone, Mohammad A. Nabian, N. Sukumar, Ankit Srivastava, Hadi Meidani

Comments 16 pages, 11 figures, Selected for ML4PS workshop at NeurIPS 2022

Partial Matrix Completion

Elad Hazan, Adam Tauman Kalai, Varun Kanade, Clara Mohri, Y. Jennifer Sun

Comments NeurIPS 2023

FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks

Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong

Comments Code in https://github.com/yh-yao/FedGCN

Journal ref NeurIPS 2023

PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation

Maxwell A. Xu, Alexander Moreno, Supriya Nagesh, V. Burak Aydemir, David W. Wetter, Santosh Kumar, James M. Rehg

Comments NeurIPS 2022 | Code available at: https://github.com/rehg-lab/pulseimpute | Data available at: https://doi.org/10.5281/zenodo.7129964

Journal ref Advances in Neural Information Processing Systems 35 (2022) 26874-26888

Automating reward function configuration for drug design

Marius Urbonas, Temitope Ajileye, Paul Gainer, Douglas Pires

Journal ref The NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development (AI4D3 2023), New Orleans, LA, USA, 2023

ArchiGuesser -- AI Art Architecture Educational Game

Joern Ploennigs, Markus Berger, Eva Carnein

Comments NeurIPS, Creative AI track

Efficiently Adapting Pretrained Language Models To New Languages

Zoltan Csaki, Pian Pawakapan, Urmish Thakker, Qiantong Xu

Comments Accepted to "The third Neurips Workshop on Efficient Natural Language and Speech Processing 2023" (ENLSP-III)

Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects

Chuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, Hao Dong

Comments NeurIPS 2023

LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers

Taewook Nam, Juyong Lee, Jesse Zhang, Sung Ju Hwang, Joseph J. Lim, Karl Pertsch

Comments 2nd Workshop on Agent Learning in Open-Endedness (ALOE) at NeurIPS 2023