Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images

Seongsu Bae, Daeun Kyung, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei Ji, Eric Chang, Tackeun Kim, Edward Choi p3867-3880 from Advances in Neural Information Processing Systems 36

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EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks

Zihang Shao, Xuanye Fang, Yaxin Li, Chaoran Feng, Jiangrong Shen, Qi Xu p32117-32128 from Advances in Neural Information Processing Systems 36

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EigenVI: score-based variational inference with orthogonal function expansions

Diana Cai, Chirag Modi, Charles Margossian, Robert Gower, David Blei, Lawrence Saul p132691-132721 from Advances in Neural Information Processing Systems 37

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einspace: Searching for Neural Architectures from Fundamental Operations

Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay Cohen, Steven McDonagh, Elliot Crowley p1919-1953 from Advances in Neural Information Processing Systems 37

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Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines

Mark Blacher, Christoph Staudt, Julien Klaus, Maurice Wenig, Niklas Merk, Alexander Breuer, Max Engel, Sören Laue, Joachim Giesen p98033-98048 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Elastic Decision Transformer

Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya p18532-18550 from Advances in Neural Information Processing Systems 36

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Elastic Robust Unlearning of Specific Knowledge in Large Language Models

Yize Sui, Jing Ren, Wenjing Yang, Ruochun Jin, Liyang Xu, Xiyao Liu, J Wang p9094-9129 from Advances in Neural Information Processing Systems 38

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Elastic ViTs from Pretrained Models without Retraining

Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort, Cees Snoek, Yuki Asano p27652-27682 from Advances in Neural Information Processing Systems 38

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ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler

Jiaxin Zhang, Yashar Moshfeghi p12647-12661 from Advances in Neural Information Processing Systems 35

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ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism

Zedong Liu, Shenggan Cheng, Guangming Tan, Yang You, Dingwen Tao p104563-104588 from Advances in Neural Information Processing Systems 38

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ElasticMVS: Learning Elastic Part Representation for Self-Supervised Multi-View Stereopsis

Jinzhi Zhang, Ruofan Tang, Zheng Cao, Jing Xiao, Ruqi Huang, Lu Fang p23510-23523 from Advances in Neural Information Processing Systems 35

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ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer

Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li p119174-119197 from Advances in Neural Information Processing Systems 37

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ELDEN: Exploration via Local Dependencies

Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín p15456-15474 from Advances in Neural Information Processing Systems 36

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ELDET: Early-Learning Distillation with Noisy Labels for Object Detection

Dongmin Choi, Sangbin Lee, EungGu Yun, Jonghyuk Baek, Frank Park p77296-77323 from Advances in Neural Information Processing Systems 38

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ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals

Jonas Elsborg, Luca Thiede, Alan Aspuru-Guzik, Tejs Vegge, Arghya Bhowmik p31897-31926 from Advances in Neural Information Processing Systems 38

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ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

Chunyuan Li, Haotian Liu, Liunian Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Houdong Hu, Zicheng Liu, Yong Jae Lee, Jianfeng Gao p9287-9301 from Advances in Neural Information Processing Systems 35

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Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation

Jitesh Jain, Zhengyuan Yang, Humphrey Shi, Jianfeng Gao, Jianwei Yang p91092-91123 from Advances in Neural Information Processing Systems 38

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ELIAS: End-To-End Learning to Index and Search in Large Output Spaces

Nilesh Gupta, Patrick Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit Dhillon p19798-19809 from Advances in Neural Information Processing Systems 35

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Eliciting Reasoning in Language Models with Cognitive Tools

Brown Wilfried Ebouky Doualla Dina, Andrea Bartezzaghi, Mattia Rigotti p46728-46759 from Advances in Neural Information Processing Systems 38

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Eliciting Thinking Hierarchy Without a Prior

Yuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu p13329-13341 from Advances in Neural Information Processing Systems 35

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Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback

Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew Walter p12192-12221 from Advances in Neural Information Processing Systems 36

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ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward

Zixian Ma, Rose Wang, Fei-Fei Li, Michael Bernstein, Ranjay Krishna p8304-8317 from Advances in Neural Information Processing Systems 35

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Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization

Runqi Lin, Chaojian Yu, Tongliang Liu p67866-67885 from Advances in Neural Information Processing Systems 36

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Eliminating Domain Bias for Federated Learning in Representation Space

Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan p14204-14227 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images

EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks

EigenVI: score-based variational inference with orthogonal function expansions

einspace: Searching for Neural Architectures from Fundamental Operations

Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines

Elastic Decision Transformer

Elastic Robust Unlearning of Specific Knowledge in Large Language Models

Elastic ViTs from Pretrained Models without Retraining

ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler

ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism

ElasticMVS: Learning Elastic Part Representation for Self-Supervised Multi-View Stereopsis

ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer

ELDEN: Exploration via Local Dependencies

ELDET: Early-Learning Distillation with Noisy Labels for Object Detection

ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation

ELIAS: End-To-End Learning to Index and Search in Large Output Spaces

Eliciting Reasoning in Language Models with Cognitive Tools

Eliciting Thinking Hierarchy Without a Prior

Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback

ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward

Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization

Eliminating Domain Bias for Federated Learning in Representation Space

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