Most Cited NEURIPS "continuous latent representations" Papers
5,858 papers found • Page 26 of 30
Conference
Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
Kijung Yoon
FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning
Haizhou Du, Yiran Xiang, Yiwen Cai et al.
DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs
Chengtai Li, Yuting He, Jianfeng Ren et al.
Online Locally Differentially Private Conformal Prediction via Binary Inquiries
Qiangqiang Zhang, Chenfei Gu, Xinwei Feng et al.
Principled Long-Tailed Generative Modeling via Diffusion Models
Pranoy Das, Kexin Fu, Abolfazl Hashemi et al.
SONAR: Long-Range Graph Propagation Through Information Waves
Alessandro Trenta, Alessio Gravina, Davide Bacciu
Information-Theoretic Discrete Diffusion
Moongyu Jeon, Sangwoo Shin, Dongjae Jeon et al.
Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems
Marcos Negre Saura, Richard Allmendinger, Wei Pan et al.
Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination
Rakshit Trivedi, Kartik Sharma, David Parkes
Improving Decision Trees through the Lens of Parameterized Local Search
Juha Harviainen, Frank Sommer, Manuel Sorge
TGA: True-to-Geometry Avatar Dynamic Reconstruction
Bo Guo, Sijia Wen, Ziwei Wang et al.
Robust Label Proportions Learning
Jueyu Chen, Wantao Wen, Yeqiang Wang et al.
CAMILA: Context-Aware Masking for Image Editing with Language Alignment
Hyunseung Kim, Chiho Choi, Srikanth Malla et al.
Promptable 3-D Object Localization with Latent Diffusion Models
Cheng-Yao Hong, Li-Heng Wang, Tyng-Luh Liu
NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective
Xiaohan Qin, Xiaoxing Wang, Ning Liao et al.
Federated Continual Learning via Orchestrating Multi-Scale Expertise
Xiaoyang Yi, Yang Liu, Binhan Yang et al.
Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis
Yicong Jiang, Zheng Tracy Ke
Thompson Sampling in Function Spaces via Neural Operators
Rafael Oliveira, Xuesong Wang, Kian Ming Chai et al.
Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification
Hossein Jafarinia, Danial Hamdi, Amirhossein Alamdar et al.
Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration
Thomas Decker, Volker Tresp, Florian Buettner
OctoNet: A Large-Scale Multi-Modal Dataset for Human Activity Understanding Grounded in Motion-Captured 3D Pose Labels
Dongsheng Yuan, Xie Zhang, Weiying Hou et al.
Discovering Compositional Hallucinations in LVLMs
Sibei Yang, Ge Zheng, Jiajin Tang et al.
Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
Wentao Deng, Jiahuan Pei, Zhiwei Xu et al.
Sum Estimation under Personalized Local Differential Privacy
Dajun Sun, Wei Dong, Yuan Qiu et al.
Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning
Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang et al.
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation
Jiabei Cheng, Changxi Chi, Jingbo Zhou et al.
On the Optimality of the Median-of-Means Estimator under Adversarial Contamination
Xabier de Juan, Santiago Mazuelas
CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes
Jiyao Zhang, Zhiyuan Ma, Tianhao Wu et al.
Natural Gradient VI: Guarantees for Non-Conjugate Models
Fangyuan Sun, Ilyas Fatkhullin, Niao He
UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis
Thanh-Tung Le, Tuan Pham, Tung Nguyen et al.
TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents
Xiaochuan Gou, Ziyue Li, Tian Lan et al.
GSPN-2: Efficient Parallel Sequence Modeling
Hongjun Wang, yitong jiang, Collin McCarthy et al.
Tightening Regret Lower and Upper Bounds in Restless Rising Bandits
Cristiano Migali, Marco Mussi, Gianmarco Genalti et al.
Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline
Kanghao Chen, Zixin Zhang, Guoqiang Liang et al.
Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
Yisen Gao, Xingcheng Fu, Qingyun Sun et al.
IBGS: Image-Based Gaussian Splatting
Hoang Chuong Nguyen, Wei Mao, Jose M. Alvarez et al.
Object-Centric Concept-Bottlenecks
David Steinmann, Wolfgang Stammer, Antonia Wüst et al.
Tensor Decomposition Networks for Accelerating Machine Learning Force Field Computations
Yuchao Lin, Cong Fu, Zachary Krueger et al.
SentinelKilnDB: A Large-Scale Dataset and Benchmark for OBB Brick Kiln Detection in South Asia Using Satellite Imagery
Rishabh Mondal, Jeet Parab, Heer Kubadia et al.
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
Zhiqiang Kou, Yucheng Xie, Hailin Wang et al.
SSRB: Direct Natural Language Querying to Massive Heterogeneous Semi-Structured Data
Xin Zhang, Mingxin Li, Yanzhao Zhang et al.
From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures
Jens U. Brandt, Noah Christoph Pütz, Marcus Greiff et al.
An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
Sukanya Patra, Souhaib Ben Taieb
Geometric Imbalance in Semi-Supervised Node Classification
Liang Yan, Shengzhong Zhang, Bisheng Li et al.
Unveiling the Uncertainty in Embodied and Operational Carbon of Large AI Models through a Probabilistic Carbon Accounting Model
Xiaoyang Zhang, He Fang, Yang Deng et al.
Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization
Tan Pan, Kaiyu Guo, Dongli Xu et al.
FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning
Gang Yan, Sikai Yang, Wan Du
InFlux: A Benchmark for Self-Calibration of Dynamic Intrinsics of Video Cameras
Erich Liang, Roma Bhattacharjee, Sreemanti Dey et al.
MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation
Chu Xu, Xinke Jiang, Rihong Qiu et al.
Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy
Nan Li, Yonghui Su, Lianbo Ma
Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization
Yiran Yang, Rui Chen
Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions
Dionysis Arvanitakis, Vaidehi Srinivas, Aravindan Vijayaraghavan
Iterative Foundation Model Fine-Tuning on Multiple Rewards
Pouya M. Ghari, simone sciabola, Ye Wang
Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency
Kenta Niwa, Yuki Takezawa, Guoqiang Zhang et al.
Agnostic Continuous-Time Online Learning
Pramith Devulapalli, Changlong Wu, Ananth Grama et al.
Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning
Yinhan He, Wendy Zheng, Song Wang et al.
PIVNO: Particle Image Velocimetry Neural Operator
Xu Jie, Xuesong Zhang, Jing Jiang et al.
Counterfactual Evolution of Multimodal Datasets via Visual Programming
Minghe Gao, Zhongqi Yue, Wenjie Yan et al.
DoseSurv: Predicting Personalized Survival Outcomes under Continuous-Valued Treatments
Moritz Gögl, Yu Liu, Christopher Yau et al.
GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
Wanjia Zhao, Jiaqi Han, Siyi Gu et al.
For Better or for Worse, Transformers Seek Patterns for Memorization
Madhur Panwar, Gail Weiss, Navin Goyal et al.
One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting
Haipeng Liu, Yang Wang, Meng Wang
Diffusion-Guided Graph Data Augmentation
Maria Marrium, Arif Mahmood, Muhammad Haris Khan et al.
Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs
Yifan Zhou, Sachin Grover, Mohamed El Mistiri et al.
From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps
Paul Rosu, Lawrence Carin, Xiang Cheng
Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering
Yiming Wang, Qun Li, Dongxia Chang et al.
TF-MAS: Training-free Mamba2 Architecture Search
Yi Fan, Yu-Bin Yang
Variational Inference with Mixtures of Isotropic Gaussians
Marguerite Petit-Talamon, Marc Lambert, Anna Korba
Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies
Vincent Leon, Iosif Sakos, Ryann Sim et al.
Autoencoding Random Forests
Binh Vu, Jan Kapar, Marvin Wright et al.
Learning to Generalize: An Information Perspective on Neural Processes
Hui Li, Huafeng Liu, Shuyang Lin et al.
Prompt Tuning Transformers for Data Memorization
Haiyu Wang, Yuanyuan Lin
AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
Jingjing Zheng, Wanglong Lu, Yiming Dong et al.
FRN: Fractal-Based Recursive Spectral Reconstruction Network
Ge Meng, Zhongnan Cai, Ruizhe Chen et al.
HEIR: Learning Graph-Based Motion Hierarchies
Cheng Zheng, William Koch, Baiang Li et al.
Bounds on the computational complexity of neurons due to dendritic morphology
Anamika Agrawal, Michael Buice
Learning from A Single Markovian Trajectory: Optimality and Variance Reduction
Zhenyu Sun, Ermin Wei
On the SAC-BL Algorithm for Anomaly Detection
Xinsong Ma, Jie Wu, Weiwei Liu
Faster Generic Identification in Tree-Shaped Structural Causal Models
Yasmine Briefs, Markus Bläser
Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs
Zhenbang Zhang, Jingtong Feng, Hongjia Li et al.
ZeroS: Zero‑Sum Linear Attention for Efficient Transformers
Jiecheng Lu, Xu Han, Yan Sun et al.
RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
Zukang Xu, Xing Hu, Qiang Wu et al.
Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning
Hossein Rajoli Nowdeh, Jie Ji, Xiaolong Ma et al.
Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval
Jian Xiao, Zijie Song, Jialong Hu et al.
SNAP: Low-Latency Test-Time Adaptation with Sparse Updates
Hyeongheon Cha, Dong Min Kim, Hye Won Chung et al.
ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning
Zhongyi Zhou, Yichen Zhu, Xiaoyu Liu et al.
Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
Xinyu Wang, Jonas M. Kübler, Kailash Budhathoki et al.
Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery
Zekun Wang, Ethan Haarer, Tianyi Zhu et al.
VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory
Young-Jae Park, Minseok Seo, Hae-Gon Jeon
Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction
Nadhir Hassen, Zhen Zhang, Johan Verjans
Efficient $k$-Sparse Band–Limited Interpolation with Improved Approximation Ratio
Yang Cao, Xiaoyu Li, Zhao Song et al.
VPO: Reasoning Preferences Optimization Based on $\mathcal{V}$-Usable Information
Zecheng Wang, Chunshan Li, Yupeng Zhang et al.
H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition
Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii et al.
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference
Harsh Parikh, Trang Nguyen, Elizabeth Stuart et al.
L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery
Ziwei Shi, Xiaoran Zhang, Wenjing Xu et al.
On the Hardness of Approximating Distributions with Tractable Probabilistic Models
John Leland, YooJung Choi
GMM-based VAE model with Normalising Flow for effective stochastic segmentation
Conghui Li, Chern Hong Lim, Xin Wang
Rebalancing Return Coverage for Conditional Sequence Modeling in Offline Reinforcement Learning
Wensong Bai, Chufan Chen, Yichao Fu et al.
Distil-E2D: Distilling Image-to-Depth Priors for Event-Based Monocular Depth Estimation
Jie Long Lee, Gim Hee Lee
PointTruss: K-Truss for Point Cloud Registration
Yue Wu, Jun Jiang, Yongzhe Yuan et al.
Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing Modalities
Xi ruida
Progress Reward Model for Reinforcement Learning via Large Language Models
Xiuhui Zhang, Ning Gao, Xingyu Jiang et al.
MR. Video: MapReduce as an Effective Principle for Long Video Understanding
Ziqi Pang, Yu-Xiong Wang
Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective
Weizhong Huang, Yuxin Zhang, Xiawu Zheng et al.
ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion
Sungho Koh, SeungJu Cha, Hyunwoo Oh et al.
MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification
Yingying Feng, Jie Li, Jie Hu et al.
MultiScale Contextual Bandits for Long Term Objectives
Richa Rastogi, Yuta Saito, Thorsten Joachims
Flick: Empowering Federated Learning with Commonsense Knowledge
Ran Zhu, Mingkun Yang, Shiqiang Wang et al.
Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations
Jack Nugent, Siyang Wu, Zeyu Ma et al.
Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks
Yixuan Xu, Antoine Bosselut, Imanol Schlag
Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations
Adrian Hill, Neal McKee, Johannes Maeß et al.
Steering Information Utility in Key-Value Memory for Language Model Post-Training
Chunyuan Deng, Ruidi Chang, Hanjie Chen
Practical and Effective Code Watermarking for Large Language Models
Zhimeng Guo, Minhao Cheng
Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning
Yijin Ni, Xiaoming Huo
Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism
Ziyang Zheng, Kezhi Li, Zhengyuan Shi et al.
Resounding Acoustic Fields with Reciprocity
Zitong Lan, Yiduo Hao, Mingmin Zhao
On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
Liyao Tang, Zhe Chen, Dacheng Tao
Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models
Jun Zhao, Yongzhuo Yang, Xiang Hu et al.
Shapley-Based Data Valuation for Weighted $k$-Nearest Neighbors
Guangyi Zhang, Qiyu Liu, Aristides Gionis
Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning
Dipam Goswami, Simone Magistri, Kai Wang et al.
Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
Jihoon Kwon, Kyle Min, Jy-yong Sohn
Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design
Yunfan Li, Eric Liu, Lin Yang
Delving into Large Language Models for Effective Time-Series Anomaly Detection
JUN WOO PARK, Kyudan Jung, Dohyun Lee et al.
RFMPose: Generative Category-level Object Pose Estimation via Riemannian Flow Matching
Wenzhe Ouyang, Qi Ye, Jinghua Wang et al.
Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG
Shihao Yang, Feng Liu
Explaining the Law of Supply and Demand via Online Learning
Stratis Skoulakis
Smoothed Agnostic Learning of Halfspaces over the Hypercube
Yiwen Kou, Raghu Meka
Personalized Visual Content Generation in Conversational Systems
Xianquan Wang, Zhaocheng Du, Huibo Xu et al.
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
Seonghoon Yu, Dongjun Nam, Dina Katabi et al.
Eliciting Reasoning in Language Models with Cognitive Tools
Brown Wilfried Ebouky Doualla Dina, Andrea Bartezzaghi, Mattia Rigotti
Efficient Fairness-Performance Pareto Front Computation
Mark Kozdoba, Binyamin Perets, Shie Mannor
Robust Estimation Under Heterogeneous Corruption Rates
Syomantak Chaudhuri, Jerry Li, Thomas Courtade
Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration
Hongkang Zhang, Shao-Lun Huang, Ercan KURUOGLU et al.
SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction
Fabian Immel, Jan-Hendrik Pauls, Richard Schwarzkopf et al.
Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios
Shengju Yu, Pei Zhang, Siwei Wang et al.
Efficient Low Rank Attention for Long-Context Inference in Large Language Models
Li Tenghui, Guoxu Zhou, Xuyang Zhao et al.
Preference-driven Knowledge Distillation for Few-shot Node Classification
Xing Wei, Chunchun Chen, Rui Fan et al.
Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics
Deep Patel, Emmanouil-Vasileios Vlatakis-Gkaragkounis
Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor
Maryam Aliakbarpour, Zhan Shi, Ria Stevens et al.
Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction
Tengfei Ma, Kun Chen, Yongsheng Zang et al.
Controlling The Spread of Epidemics on Networks with Differential Privacy
Dũng Nguyen, Aravind Srinivasan, Renata Valieva et al.
SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking
Shubo Lin, Yutong Kou, Zirui Wu et al.
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
Hyungki Im, Wyame Benslimane, Paul Grigas
DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning
Sitong Wu, Haoru Tan, Jingyao Li et al.
Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance
Jack Goffinet, Youngjo Min, Carlo Tomasi et al.
Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
Yuxin Pan, Zhiguang Cao, Chengyang GU et al.
Quantifying Elicitation of Latent Capabilities in Language Models
Elizabeth Donoway, Hailey Joren, Arushi Somani et al.
LithoSim: A Large, Holistic Lithography Simulation Benchmark for AI-Driven Semiconductor Manufacturing
Hongquan He, Zhen Wang, Jingya Wang et al.
RoomEditor: High-Fidelity Furniture Synthesis with Parameter-Sharing U-Net
Zhenyi Lin, Xiaofan Ming, Qilong Wang et al.
Quantum Speedups for Minimax Optimization and Beyond
Chengchang Liu, Zongqi Wan, Institute of Computing Jialin Zhang et al.
Rethinking Gradient Step Denoiser: Towards Truly Pseudo-Contractive Operator
Shuchang Zhang, Yaoyun Zeng, Kangkang Deng et al.
RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis
Haolin Li, Tianjie Dai, Zhe Chen et al.
RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting
Mohamad Hakam Shams Eddin, Yikui Zhang, Stefan Kollet et al.
Global Minimizers of Sigmoid Contrastive Loss
Kiril Bangachev, Guy Bresler, Iliyas Noman et al.
Consistency Conditions for Differentiable Surrogate Losses
Drona Khurana, Anish Thilagar, Dhamma Kimpara et al.
SPFL: Sequential updates with Parallel aggregation for Enhanced Federated Learning under Category and Domain Shifts
Haoyuan Liang, Shilei Cao, Li et al.
Memory by accident: a theory of learning as a byproduct of network stabilization
Basile Confavreux, William Dorrell, Nishil Patel et al.
Scalable Neural Incentive Design with Parameterized Mean-Field Approximation
Nathan Corecco, Batuhan Yardim, Vinzenz Thoma et al.
FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning
Fan Wu, Xinyu Yan, Jiabei Liu et al.
Masked Gated Linear Unit
Yukito Tajima, Nakamasa Inoue, Yusuke Sekikawa et al.
IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
HantingYan Yan, Pan Mu, Shiqi Zhang et al.
Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
Sengim Karayalcin, Marina Krček, Stjepan Picek
MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference
Haibo Tong, Zhaoyang Wang, Zhaorun Chen et al.
Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification
Matan Schliserman, Tomer Koren
PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models
Ruiqi Wang, Dezhong Zhao, Ziqin Yuan et al.
RAPTR: Radar-based 3D Pose Estimation using Transformer
Sorachi Kato, Ryoma Yataka, Pu Wang et al.
CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning
ao zhou, Jiayi Guan, Li Shen et al.
Enhancing Training Data Attribution with Representational Optimization
Weiwei Sun, Haokun Liu, Nikhil Kandpal et al.
Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models
Omer Moussa, Mariya Toneva
The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
Adam Klivans, Konstantinos Stavropoulos, Kevin Tian et al.
Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement
Yunan Lu, Xixi Zhang, Yaojin Lin et al.
Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs
Masahiro Kaneko, Timothy Baldwin
DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism
HongXin Xu, Tianyu Guo, Xianwei Zhang
Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning
Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu et al.
COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
Pengyi Li, Hongyao Tang, Yifu Yuan et al.
Theoretical Insights into In-context Learning with Unlabeled Data
Yingcong Li, Xiangyu Chang, Muti Kara et al.
Seeing the Wind from a Falling Leaf
Zhiyuan Gao, Jiageng Mao, Hong-Xing "Koven" Yu et al.
Latent Space Factorization in LoRA
Shashi Kumar, Yacouba Kaloga, John Mitros et al.
Periodic Skill Discovery
Jonghae Park, Daesol Cho, Jusuk Lee et al.
BrainEC-LLM: Brain Effective Connectivity Estimation by Multiscale Mixing LLM
Wen Xiong, Junzhong Ji, Jinduo Liu
Finding separatrices of dynamical flows with Deep Koopman Eigenfunctions
Kabir Dabholkar, Omri Barak
Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
Zishen Zhang, Xiangzhe Kong, Wenbing Huang et al.
Gradient-Guided Epsilon Constraint Method for Online Continual Learning
Song Lai, Changyi Ma, Fei Zhu et al.
Embedding Principle of Homogeneous Neural Network for Classification Problem
Jiahan Zhang, Yaoyu Zhang, Tao Luo
Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning Models
Yuheng Tang, Hongwei Li, Kaijie Zhu et al.
MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling
Liang Yin, Xudong Xie, Zhang Li et al.
Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
Wenchang Duan, Yaoliang Yu, Jiwan He et al.
Robust Explanations of Graph Neural Networks via Graph Curvatures
Yazheng Liu, Xi Zhang, Sihong Xie et al.
Tree-Sliced Entropy Partial Transport
Viet-Hoang Tran, Thanh Tran, Thanh Chu et al.
BNMusic: Blending Environmental Noises into Personalized Music
Chi Zuo, Martin Møller, Pablo Martínez-Nuevo et al.
Depth-Width Tradeoffs for Transformers on Graph Tasks
Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher et al.
More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models
Hongkai Lin, Dingkang Liang, Mingyang Du et al.
From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models
HAO SUN, Zhongyi Han, Hao Chen et al.
Pattern-Guided Adaptive Prior for Structure Learning
Lyuzhou Chen, Yijia Sun, Yanze Gao et al.
A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals
Ziyu Jia, Tingyu Du, Zhengyu Tian et al.
Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning
Wei Duan, Jie Lu, Junyu Xuan
Switchable Token-Specific Codebook Quantization For Face Image Compression
Yongbo Wang, Haonan Wang, Guodong Mu et al.
Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity
Guangze Zheng, Shijie Lin, Haobo Zuo et al.
A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments
Siyuan Wu, Yongzhe Jia, Haolong Xiang et al.
Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
Hanze Guo, Jing Yao, Xiao Zhou et al.