NeurIPS

Counterfactual reasoning: Do language models need world knowledge for causal understanding?

Jiaxuan Li, Lang Yu, Allyson Ettinger

Comments 5 pages, accepted to nCSI workshop at NeurIPS 2022

QC-StyleGAN -- Quality Controllable Image Generation and Manipulation

Dat Viet Thanh Nguyen, Phong Tran The, Tan M. Dinh, Cuong Pham, Anh Tuan Tran

Comments Accepted to NeurIPS 2022; The code is available at https://github.com/VinAIResearch/QC-StyleGAN

Fast DistilBERT on CPUs

Haihao Shen, Ofir Zafrir, Bo Dong, Hengyu Meng, Xinyu Ye, Zhe Wang, Yi Ding, Hanwen Chang, Guy Boudoukh, Moshe Wasserblat

Comments 9 pages, NeurIPS 2022, ENLSP Workshop

Reinforcement Learning with Non-Exponential Discounting

Matthias Schultheis, Constantin A. Rothkopf, Heinz Koeppl

Comments 22 pages, 3 figures, published at 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines

Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane

Comments 12 page, 4 figures. accepted to Neurips 2021 Supplementary Material

Journal ref NeurIps 2021

Towards Better User Requirements: How to Involve Human Participants in XAI Research

Thu Nguyen, Jichen Zhu

Comments 4 pages. 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Land Use Prediction using Electro-Optical to SAR Few-Shot Transfer Learning

Marcel Hussing, Karen Li, Eric Eaton

Comments Published at Tackling Climate Change with Machine Learning workshop at NeurIPS 2022

On the Importance of Clinical Notes in Multi-modal Learning for EHR Data

Severin Husmann, Hugo Yèche, Gunnar Rätsch, Rita Kuznetsova

Comments Workshop on Learning from Time Series for Health, 36th Conference on Neural Information Processing Systems (NeurIPS 2022) 15 pages (including appendices)

Super-resolution Probabilistic Rain Prediction from Satellite Data Using 3D U-Nets and EarthFormers

Yang Li, Haiyu Dong, Zuliang Fang, Jonathan Weyn, Pete Luferenko

Comments Weather4cast-2022 & NeurIPS

Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks

Tong Xie, Yuwei Wan, Weijian Li, Qingyuan Linghu, Shaozhou Wang, Yalun Cai, Han Liu, Chunyu Kit, Clara Grazian, Bram Hoex

Comments Paper at NeurIPS 2022 AI for Science: Progress and Promises

Continual learning on deployment pipelines for Machine Learning Systems

Qiang Li, Chongyu Zhang

Comments 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Accepted by blind review at DMML Workshop accepted-papers" target="_blank" rel="noopener">https://sites.google.com/view/dmmlsys-neurips2022/accepted-papers

Journal ref Thirty-sixth Conference on Neural Information Processing Systems 2022

Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation

Soysal Degirmenci, Chris Jones

Comments 2022 NeurIPS Offline Reinforcement Learning Workshop paper

Identifying Spurious Correlations and Correcting them with an Explanation-based Learning

Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee

Comments Presented at the NeurIPS 2022 workshop on Human-in-the-Loop Learning (HILL)

Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement Learning

Dan Elbaz, Gal Novik, Oren Salzman

Comments Accepted to Foundation Models for Decision Making (FMDM) Workshop at 36th Conference on Neural Information Processing Systems (NeurIPS)

Robust Models are less Over-Confident

Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper

Comments accepted at NeurIPS 2022

CARD: Classification and Regression Diffusion Models

Xizewen Han, Huangjie Zheng, Mingyuan Zhou

Comments NeurIPS 2022

List-Decodable Sparse Mean Estimation

Shiwei Zeng, Jie Shen

Comments v2 introduces low-degree polynomials to improve error rate, and is accepted to NeurIPS 2022

LISA: Learning Interpretable Skill Abstractions from Language

Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon

Comments NeurIPS 2022. Website: https://div99.github.io/LISA/

An Analytical Theory of Curriculum Learning in Teacher-Student Networks

Luca Saglietti, Stefano Sarao Mannelli, Andrew Saxe

Comments Accepted to NeurIPS 2022

Relative stability toward diffeomorphisms indicates performance in deep nets

Leonardo Petrini, Alessandro Favero, Mario Geiger, Matthieu Wyart

Comments NeurIPS 2021 Conference

Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis

Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima

Comments Accepted to NeurIPS 2021. Camera-ready version with supplementary materials

Solving the Weather4cast Challenge via Visual Transformers for 3D Images

Yury Belousov, Sergey Polezhaev, Brian Pulfer

Comments NeurIPS'2022 Competition Track Workshop

Audio-Driven Co-Speech Gesture Video Generation

Xian Liu, Qianyi Wu, Hang Zhou, Yuanqi Du, Wayne Wu, Dahua Lin, Ziwei Liu

Comments Accepted by Advances in Neural Information Processing Systems (NeurIPS), 2022 (Spotlight Presentation). Camera-Ready Version, 19 Pages

3D-LatentMapper: View Agnostic Single-View Reconstruction of 3D Shapes

Alara Dirik, Pinar Yanardag

Comments Accepted to NeurIPS - WiML workshop 2022

Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition

Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun

Comments workshop at NeurIPS 2022 Competition Track on Weather4Cast

Dissimilar Nodes Improve Graph Active Learning

Zhicheng Ren, Yifu Yuan, Yuxin Wu, Xiaxuan Gao, Yewen Wang, Yizhou Sun

Comments NeurIPS 2022 Workshop GLFrontiers, Code could be found at https://github.com/franklinnwren/DS-AGE

CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation

Zicheng Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Wei Ke

Comments accept to NeurIPS 2022

Languages You Know Influence Those You Learn: Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer

Benjamin Muller, Deepanshu Gupta, Siddharth Patwardhan, Jean-Philippe Fauconnier, David Vandyke, Sachin Agarwal

Comments In NeurIPS Workshop on Transfer Learning for Natural Language Processing, 2022, New Orleans. 15 pages, 8 figures, 5 tables

General Cutting Planes for Bound-Propagation-Based Neural Network Verification

Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter

Comments Accepted by NeurIPS 2022. GCP-CROWN is part of the alpha-beta-CROWN verifier, the VNN-COMP 2022 winner

Variable-rate hierarchical CPC leads to acoustic unit discovery in speech

Santiago Cuervo, Adrian Łańcucki, Ricard Marxer, Paweł Rychlikowski, Jan Chorowski

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

Journal ref Advances in Neural Information Processing Systems, 2022