NeurIPS 2024: all accepted papers
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- Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler ↗Kunyu Peng, Di Wen, Kailun Yang et al.4 citations
- Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators ↗Changze Lv, Dongqi Han, Yansen Wang et al.4 citations
- Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation ↗Chengting Yu, Lei Liu, Aili Wang et al.4 citations
- Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists ↗Joachim Baumann, Celestine Dünner4 citations
- Aligner: Efficient Alignment by Learning to Correct ↗Jiaming Ji, Boyuan Chen, Hantao Lou et al.4 citations
- AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario ↗Yuhan Li, Hao Yu Zhou, Wenxiang Shang et al.4 citations
- Approximation Rate of the Transformer Architecture for Sequence Modeling ↗Haotian Jiang, Qianxiao Li4 citations
- Are Graph Neural Networks Optimal Approximation Algorithms? ↗Morris Yau, Nikolaos Karalias, Eric Lu et al.4 citations
- AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents ↗Yao Fu, Dong-Ki Kim, Jaekyeom Kim et al.4 citations
- Automatically Learning Hybrid Digital Twins of Dynamical Systems ↗Samuel Holt, Tennison Liu, Mihaela van der Schaar4 citations
- BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity ↗Zahra Gharaee, Scott Lowe, ZeMing Gong et al.4 citations
- Back to the Continuous Attractor ↗Ábel Ságodi, Guillermo Martín-Sánchez, Piotr Sokół et al.4 citations
- Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. ↗Spandan Madan, Will Xiao, Mingran Cao et al.4 citations
- Boosted Conformal Prediction Intervals ↗Ran Xie, Rina Foygel Barber, Emmanuel J. Candès4 citations
- Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing ↗Yadong Qu, Yuxin Wang, Bangbang Zhou et al.4 citations
- Boosting Transferability and Discriminability for Time Series Domain Adaptation ↗Mingyang Liu, Xinyang Chen, Yang Shu et al.4 citations
- Bridge the Modality and Capability Gaps in Vision-Language Model Selection ↗Chao Yi, Yuhang He, De‐Chuan Zhan et al.4 citations
- BuckTales: A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes ↗Hemal Naik, Junran Yang, Dipin Das et al.4 citations
- CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment ↗Xi Yu, Shinjae Yoo, Yuewei Lin4 citations
- CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning ↗Yiping Wang, Yifang Chen, Wendan Yan et al.4 citations
- COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation ↗Ziyuan Zhang, Han Qiu, Maosen Zhang et al.4 citations
- CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark ↗David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo et al.4 citations
- Cascade of phase transitions in the training of energy-based models ↗Dimitrios Bachtis, Giulio Biroli, Aurélien Decelle et al.4 citations
- Challenges of Generating Structurally Diverse Graphs ↗Fedor Velikonivtsev, Maksim Mironov, Liudmila Prokhorenkova4 citations
- CiteME: Can Language Models Accurately Cite Scientific Claims? ↗Ori Press, Andreas Hochlehnert, Ameya Prabhu et al.4 citations
- Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention ↗Siyuan Huang, Yunchong Song, Jiayue Zhou et al.4 citations
- Clustering in Causal Attention Masking ↗Nikita Karagodin, Yury Polyanskiy, Philippe Rigollet4 citations
- CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations ↗Leying Zhang, Yao Qian, Long Zhou et al.4 citations
- Coarse-to-Fine Concept Bottleneck Models ↗Konstantinos P. Panousis, Dino Ienco, Diego Marcos4 citations
- Compositional 3D-aware Video Generation with LLM Director ↗Hanxin Zhu, Tianyu He, Anni Tang et al.4 citations
- Compressing Large Language Models using Low Rank and Low Precision Decomposition ↗Rajarshi Saha, Naomi Sagan, Varun Srivastava et al.4 citations
- CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting ↗Jianrong Ding, Zhanyu Liu, Guanjie Zheng et al.4 citations
- Conditioning non-linear and infinite-dimensional diffusion processes ↗Elizabeth Baker, Gefan Yang, Michael Lind Severinsen et al.4 citations
- Confidence Calibration of Classifiers with Many Classes ↗Adrien Le Coz, Stéphane Herbin, Faouzi Adjed4 citations
- ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs ↗Zhaochen Su, Jun Zhang, Xiaoye Qu et al.4 citations
- Constant Acceleration Flow ↗Dogyun Park, Sojin Lee, Sihyeon Kim et al.4 citations
- Continual Audio-Visual Sound Separation ↗Weiguo Pian, Yiyang Nan, Shijian Deng et al.4 citations
- Continuous Product Graph Neural Networks ↗Aref Einizade, Fragkiskos D. Malliaros, Jhony H. Giraldo4 citations
- ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence ↗Wenjie Mei, Dongzhe Zheng, Shihua Li4 citations
- D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup ↗Joanna Waczyńska, Piotr Borycki, Joanna Kaleta et al.4 citations
- DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism ↗Cheonjun Park, Min-Cheol Park, Hyunchan Moon et al.4 citations
- DMesh: A Differentiable Mesh Representation ↗Sanghyun Son, Matheus Gadelha, Yang Zhou et al.4 citations
- DOFEN: Deep Oblivious Forest ENsemble ↗Kuan-Yu Chen, Ping-Han Chiang, Hsin-Rung Chou et al.4 citations
- Data curation via joint example selection further accelerates multimodal learning ↗Talfan Evans, Nikhil Parthasarathy, Hamza Merzić et al.4 citations
- Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum ↗Hadi Pouransari, Chunliang Li, Jen-Hao Chang et al.4 citations
- DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ ↗Jonas Belouadi, Simone Paolo Ponzetto, Steffen Eger4 citations
- Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle ↗Shangzi Xue, Zhenya Huang, Xin Li et al.4 citations
- DenoiseRep: Denoising Model for Representation Learning ↗Zhengrui Xu, Guan’an Wang, Xiaowen Huang et al.4 citations
- DevBench: A multimodal developmental benchmark for language learning ↗Alvin Wei Ming Tan, Sunny Yu, Bria Long et al.4 citations
- DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning ↗Weikang Wan, Ziyu Wang, Yufei Wang et al.4 citations
- Differentiable Structure Learning with Partial Orders ↗Taiyu Ban, Huanhuan Chen, Xiangyu Wang et al.4 citations
- Diffusion Models With Learned Adaptive Noise ↗Subham Sahoo, Aaron Gokaslan, Chris De et al.4 citations
- Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies ↗Yipu Chen, Haotian Xue, Yongxin Chen4 citations
- Diffusion Priors for Variational Likelihood Estimation and Image Denoising ↗Jun Jie Cheng, Shan Tan4 citations
- Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning ↗Liyuan Mao, Haoran Xu, Xianyuan Zhan et al.4 citations
- Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits ↗Tianxiang Huang, Shengbo Wang, Ke Li4 citations
- Discovering plasticity rules that organize and maintain neural circuits ↗David Bell, Alison Duffy, Adrienne L. Fairhall4 citations
- Discrete-state Continuous-time Diffusion for Graph Generation ↗Zhe Xu, Ruizhong Qiu, Yuzhong Chen et al.4 citations
- Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning ↗Jiaheng Hu, Zizhao Wang, Peter Stone et al.4 citations
- Distribution-Aware Data Expansion with Diffusion Models ↗Haowei Zhu, Ling Yang, Jun‐Hai Yong et al.4 citations
- Distributional Preference Alignment of LLMs via Optimal Transport ↗Igor Melnyk, Youssef Mroueh, Brian M. Belgodere et al.4 citations
- Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors ↗Yazid Janati, Badr Moufad, Alain Durmus et al.4 citations
- DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting ↗Binqian Xu, Xiangbo Shu, Haiyang Mei et al.4 citations
- EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas ↗Mikhail Mozikov, Nikita Severin, Valeria Bodishtianu et al.4 citations
- ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models ↗Jio Oh, Soyeon Kim, Junseok Seo et al.4 citations
- Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization ↗Mucong Ding, Chenghao Deng, Jocelyn Choo et al.4 citations
- Edit Distance Robust Watermarks via Indexing Pseudorandom Codes ↗Noah Golowich, Ankur Moitra4 citations
- Effective Exploration Based on the Structural Information Principles ↗Xianghua Zeng, Hao Peng, Angsheng Li4 citations
- Efficient Graph Matching for Correlated Stochastic Block Models ↗Shuwen Chai, Miklós Zoltán Rácz4 citations
- Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance ↗Jinmin He, Kai Li, Yifan Zang et al.4 citations
- EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity ↗Dominik Hollidt, Paul Streli, Jiaxi Jiang et al.4 citations
- EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature ↗Yufei Guo, Weihang Peng, Xiaode Liu et al.4 citations
- Energy-based Hopfield Boosting for Out-of-Distribution Detection ↗Claus Hofmann, Simon Schmid, Bernhard Lehner et al.4 citations
- Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers ↗Chau Pham, Bryan A. Plummer4 citations
- Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation ↗Anh Bui, Long Vuong, Khanh Doan et al.4 citations
- Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing ↗Siyi Chen, Huijie Zhang, Minzhe Guo et al.4 citations
- Exponential Quantum Communication Advantage in Distributed Inference and Learning ↗Dar Gilboa, Hagay Michaeli, Daniel Soudry et al.4 citations
- FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models ↗Wanyi Ning, Jingyu Wang, Qi Qi et al.4 citations
- Fast Encoder-Based 3D from Casual Videos via Point Track Processing ↗Yoni Kasten, Wuyue Lu, Haggai Maron4 citations
- Federated Graph Learning for Cross-Domain Recommendation ↗Ziqi Yang, Zhaopeng Peng, Zihui Wang et al.4 citations
- Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method ↗Bikang Pan, Wei Huang, Ye Shi4 citations
- Fine-Tuning is Fine, if Calibrated ↗Zheda Mai, Arpita Roy Chowdhury, Ping Zhang et al.4 citations
- FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models ↗Gong Zhang, Kihyuk Sohn, Meera Hahn et al.4 citations
- FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space ↗Yiyang Guo, Ruizhe Li, Mude Hui et al.4 citations
- From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach ↗Timothée Devergne, Vladimir Kostić, Michele Parrinello et al.4 citations
- GC-Bench: An Open and Unified Benchmark for Graph Condensation ↗Qingyun Sun, Ziying Chen, Beining Yang et al.4 citations
- GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning ↗Yanbin Wei, Shuai Fu, Weisen Jiang et al.4 citations
- GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats ↗Sangeek Hyun, Jae‐Pil Heo4 citations
- Gated Slot Attention for Efficient Linear-Time Sequence Modeling ↗Yu Zhang, Songlin Yang, Ruijie Zhu et al.4 citations
- Generative Adversarial Model-Based Optimization via Source Critic Regularization ↗Michael Steven Yao, Yimeng Zeng, Hamsa Bastani et al.4 citations
- Generative Hierarchical Materials Search ↗Sherry X. Yang, Simon Batzner, Ruiqi Gao et al.4 citations
- GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation ↗Chubin Zhang, Hong‐Liang Song, Yi Wei et al.4 citations
- Graph Neural Networks Need Cluster-Normalize-Activate Modules ↗Arseny Skryagin, Felix Divo, Mohammad Ali et al.4 citations
- Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models ↗Baao Xie, Qiuyu Chen, Yunnan Wang et al.4 citations
- Grounded Answers for Multi-agent Decision-making Problem through Generative World Model ↗Zeyang Liu, Xinrui Yang, Shiguang Sun et al.4 citations
- HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning ↗Lu Bai, Zhuo Xu, Lixin Cui et al.4 citations
- HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion ↗Yu Zeng, Yang Zhang, Jiachen Liu et al.4 citations
- How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks ↗Etai Littwin, Omid Saremi, Madhu Advani et al.4 citations
- How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization? ↗Jiahua Dong, Wenqi Liang, Hongliu Li et al.4 citations
- Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions ↗Heng Li, Minghan Li, Zhi-Qi Cheng et al.4 citations
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