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期刊&会议

NeurIPS

Conference on Neural Information Processing Systems · 会议 · Machine Learning

共收录 17332
2310.16005 2023-10-25 cs.LG

MLFMF: Data Sets for Machine Learning for Mathematical Formalization

Andrej Bauer, Matej Petković, Ljupčo Todorovski

Comments NeurIPS 2023

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2310.15999 2023-10-25 cs.CV cs.LG

Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships

Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta

Comments Neural Information Processing Systems (NeurIPS) 2023

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2310.15948 2023-10-25 cs.CV

Language-driven Scene Synthesis using Multi-conditional Diffusion Model

An Vuong, Minh Nhat Vu, Toan Tien Nguyen, Baoru Huang, Dzung Nguyen, Thieu Vo, Anh Nguyen

Comments Accepted to NeurIPS 2023

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2310.15940 2023-10-25 cs.AI cs.LG

Combining Behaviors with the Successor Features Keyboard

Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo J. Rezende, Daniel Zoran

Comments NeurIPS 2023

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2310.15670 2023-10-25 cs.CV

Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection

Linyan Huang, Zhiqi Li, Chonghao Sima, Wenhai Wang, Jingdong Wang, Yu Qiao, Hongyang Li

Comments Accepted by NeurIPS 2023

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2310.15597 2023-10-25 cs.AI cs.CV

Emergent Communication in Interactive Sketch Question Answering

Zixing Lei, Yiming Zhang, Yuxin Xiong, Siheng Chen

Comments Accepted by NeurIPS 2023

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2310.15484 2023-10-25 cs.CL cs.AI

NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA

Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim

Comments Neural Information Processing Systems (NeurIPS) 2023

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2310.15416 2023-10-25 cs.LG cs.AI

Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction

Chih-Yu Lai, Fan-Keng Sun, Zhengqi Gao, Jeffrey H. Lang, Duane S. Boning

Comments NeurIPS 2023 (https://neurips.cc/virtual/2023/poster/70582)

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2310.15414 2023-10-25 cs.AI cs.LG cs.MA

Diverse Conventions for Human-AI Collaboration

Bidipta Sarkar, Andy Shih, Dorsa Sadigh

Comments 25 pages, 9 figures, 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

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2310.15196 2023-10-25 cs.LG cs.AI

Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization

Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen

Comments Accepted at NeurIPS 2023

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2310.15195 2023-10-25 cs.LG cs.AI cs.NE

Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement

Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang

Comments Accepted at NeurIPS 2023

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2310.14468 2023-10-25 cs.LG cs.RO cs.SY eess.SY

Revisiting Implicit Differentiation for Learning Problems in Optimal Control

Ming Xu, Timothy Molloy, Stephen Gould

Comments Accepted to NeurIPS 2023 (poster)

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2310.12046 2023-10-25 stat.ML cs.LG

Applications of ML-Based Surrogates in Bayesian Approaches to Inverse Problems

Pelin Ersin, Emma Hayes, Peter Matthews, Paramjyoti Mohapatra, Elisa Negrini, Karl Schulz

Comments 5 pages, 2 figures, submitted to NeurIPS Workshop on Machine Learning for Physical Sciences

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2310.09706 2023-10-25 cs.IR cs.AI

AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking

Yang Yu, Qi Liu, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, Zaixi Zhang, Sanshi Lei Yu

Comments Accepted by NeurIPS 2023

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2307.15317 2023-10-25 cs.CV cs.AI cs.LG cs.MM

DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation

Kaipeng Zheng, Huishuai Zhang, Weiran Huang

Comments Accepted by NeurIPS 2023

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2307.11030 2023-10-25 stat.ML cs.LG

Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering

Yijun Dong, Kevin Miller, Qi Lei, Rachel Ward

Comments NeurIPS 2023

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2307.03838 2023-10-25 cs.CL cs.AI cs.LG

RADAR: Robust AI-Text Detection via Adversarial Learning

Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho

Comments Accepted by NeurIPS 2023. Project page and demos: https://radar.vizhub.ai

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2307.03217 2023-10-25 cs.LG stat.ML

Quantification of Uncertainty with Adversarial Models

Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter

Comments NeurIPS 2023

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2306.09347 2023-10-25 cs.CV cs.LG cs.RO

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Youquan Liu, Lingdong Kong, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu

Comments NeurIPS 2023 (Spotlight); 37 pages, 16 figures, 15 tables; Code at https://github.com/youquanl/Segment-Any-Point-Cloud

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2306.02602 2023-10-25 cs.CV

ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction

Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li

Comments NeurIPS 2023 Poster

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2305.01278 2023-10-25 cs.CV cs.AI cs.CL

VPGTrans: Transfer Visual Prompt Generator across LLMs

Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua

Comments Project Website: https://vpgtrans.github.io Code: https://github.com/VPGTrans/VPGTrans NeurIPS 2023

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2302.12250 2023-10-25 cs.LG cond-mat.dis-nn

Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width

Dayal Singh Kalra, Maissam Barkeshli

Comments Accepted at NeurIPS 2023 (camera-ready version): Additional results added for cross-entropy loss and effect on network output at initialization; 10+32 pages, 8+35 figures

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2302.01735 2023-10-25 cs.CV cs.AI cs.LG eess.IV

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective

Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David A. Clifton, S Kevin Zhou, Lawrence Hamilton Staib, James S Duncan

Comments Accepted by Advances in Neural Information Processing Systems (NeurIPS 2023)

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2302.00617 2023-10-25 cs.LG cs.AI

Learning Large-scale Neural Fields via Context Pruned Meta-Learning

Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz

Comments Published as a conference proceeding for NeurIPS 2023

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2212.09494 2023-10-25 stat.ME stat.ML

Optimal Treatment Regimes for Proximal Causal Learning

Tao Shen, Yifan Cui

Comments NeurIPS 2023

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2208.07365 2023-10-25 cs.CV cs.AI cs.LG

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective

Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin

Comments NeurIPS 2023; 20 pages, 9 figures, 10 tables; Code at https://github.com/ldkong1205/TranSVAE

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2106.06926 2023-10-25 cs.LG cs.AI stat.ML

Bellman-consistent Pessimism for Offline Reinforcement Learning

Tengyang Xie, Ching-An Cheng, Nan Jiang, Paul Mineiro, Alekh Agarwal

Comments NeurIPS 2021 (Oral)

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2310.15171 2023-10-24 cs.CV cs.RO

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Wei Tsang Ooi

Comments NeurIPS 2023; 45 pages, 25 figures, 13 tables; Code at https://github.com/ldkong1205/RoboDepth

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2310.15166 2023-10-24 cs.CV cs.CL

Large Language Models are Visual Reasoning Coordinators

Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu

Comments Accepted at NeurIPS 2023

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2310.15165 2023-10-24 cs.CV cs.AI cs.LG

Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition

Sara Pieri, Jose Renato Restom, Samuel Horvath, Hisham Cholakkal

Comments to be published in NeurIPS 2023

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