Most Cited 2025 "video-depth generation" Papers
22,274 papers found • Page 96 of 112
Conference
Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers
Jiacheng You, Xinyang Chen, Yu Sun et al.
DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting
Lingzhuang Meng, Mingwen Shao, Yuanjian Qiao et al.
Locally Optimal Private Sampling: Beyond the Global Minimax
Hrad Ghoukasian, Bonwoo Lee, Shahab Asoodeh
Attribution-Driven Adaptive Token Pruning for Transformers
YAOYAO YAN, Hui Yu, Weizhi Xu
Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport
Jiawei Huang, Minming Li, Hu Ding
Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task
Sunqi Fan, Jiashuo Cui, Meng-Hao Guo et al.
Co-Regularization Enhances Knowledge Transfer in High Dimensions
Shuo Shuo Liu, Haotian Lin, Matthew Reimherr et al.
TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks
Xiang Meng, Mehdi Makni, Rahul Mazumder
Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study
Yotam Alexander, Yonatan Slutzky, Yuval Ran-Milo et al.
DOVTrack: Data-Efficient Open-Vocabulary Tracking
Zekun Qian, Ruize Han, Zhixiang Wang et al.
Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding
Jian Hu, Zixu Cheng, Shaogang Gong et al.
QuARI: Query Adaptive Retrieval Improvement
Eric Xing, Abby Stylianou, Robert Pless et al.
Mamba Only Glances Once (MOGO): A Lightweight Framework for Efficient Video Action Detection
Yunqing Liu, Nan Zhang, Fangjun Wang et al.
Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
RUIYAO MIAO, Junren Xiao, Shiya Tsang et al.
Partition-Then-Adapt: Combating Prediction Bias for Reliable Multi-Modal Test-Time Adaptation
Guowei Wang, Fan Lyu, Changxing Ding
Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning
Yang Li, Aming WU, Zihao Zhang et al.
FP4 All the Way: Fully Quantized Training of Large Language Models
Brian Chmiel, Maxim Fishman, Ron Banner et al.
A Black-Box Debiasing Framework for Conditional Sampling
Han Cui, Jingbo Liu
Vinci: Deep Thinking in Text-to-Image Generation using Unified Model with Reinforcement Learning
wang lin, Wentao Hu, Liyu Jia et al.
Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation
Yiyuan Pan, Yunzhe XU, Zhe Liu et al.
Fortifying Time Series: DTW-Certified Robust Anomaly Detection
Shijie Liu, Tansu Alpcan, Christopher Leckie et al.
SAP: Exact Sorting in Splatting via Screen-Aligned Primitives
Zhanke Wang, Zhiyan Wang, Kaiqiang Xiong et al.
Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling
Jiahao Wang, Weiye Xu, Aijun Yang et al.
An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification
Fuyuan Xiao, Yu Zhou, Witold Pedrycz
An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models
Bo Peng, Jie Lu, Guangquan Zhang et al.
KAIROS: Scalable Model-Agnostic Data Valuation
Jiongli Zhu, Parjanya Prashant, Alex Cloninger et al.
MixPrompt: Efficient Mixed Prompting for Multimodal Semantic Segmentation
Zhiwei Hao, Zhongyu Xiao, Jianyuan Guo et al.
Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection
Gongzhe Li, Linwei Qiu, Peibei Cao et al.
Discovering Data Structures: Nearest Neighbor Search and Beyond
Omar Salemohamed, Laurent Charlin, Shivam Garg et al.
Orient Anything V2: Unifying Orientation and Rotation Understanding
Zehan Wang, Ziang Zhang, Jiayang Xu et al.
Time of the Flight of the Gaussians: Optimizing Depth Indirectly in Dynamic Radiance Fields
Runfeng Li, Mikhail Okunev, Zixuan Guo et al.
Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge
Yiyang Cai, Zhengkai Jiang, Yulong Liu et al.
OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization
Hao Yuan, Wenli Ouyang, Changwen Zhang et al.
Factor Decorrelation Enhanced Data Removal from Deep Predictive Models
Wenhao Yang, Lin Li, Xiaohui Tao et al.
Wavy Transformer
Satoshi Noguchi, Yoshinobu Kawahara
Efficient Algorithms for Robust and Partial Semi-Discrete Optimal Transport
Pankaj Agarwal, Sharath Raghvendra, Pouyan Shirzadian et al.
AneuG-Flow: A Large-Scale Synthetic Dataset of Diverse Intracranial Aneurysm Geometries and Hemodynamics
Wenhao Ding, Yiying Sheng, Simão de Castro et al.
Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity
Jun Wang, Zhenglai Li, Chang Tang et al.
Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery
Ming Hu, Zhengdi Yu, feilong tang et al.
Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry
Chengyuan Deng, Jie Gao, Kevin Lu et al.
Disentangled Cross-Modal Representation Learning with Enhanced Mutual Supervision
Lu Gao, Wenlan Chen, Daoyuan Wang et al.
EAG3R: Event-Augmented 3D Geometry Estimation for Dynamic and Extreme-Lighting Scenes
Xiaoshan Wu, Yifei Yu, Xiaoyang Lyu et al.
Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning
Yichen Li, Chicheng Zhang
Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems
Jingxin Zhan, Yuchen Xin, Chenjie Sun et al.
Pro3D-Editor: A Progressive Framework for Consistent and Precise 3D Editing
Yang Zheng, Mengqi Huang, Nan Chen et al.
Estimation of Stochastic Optimal Transport Maps
Sloan Nietert, Ziv Goldfeld
Modeling Neural Activity with Conditionally Linear Dynamical Systems
Victor Geadah, Amin Nejatbakhsh, David Lipshutz et al.
GenAssets: Generating in-the-wild 3D Assets in Latent Space
Ze Yang, Jingkang Wang, Haowei Zhang et al.
Dense Metric Depth Estimation via Event-based Differential Focus Volume Prompting
Boyu Li, Peiqi Duan, Zhaojun Huang et al.
HuPerFlow: A Comprehensive Benchmark for Human vs. Machine Motion Estimation Comparison
Yung-Hao Yang, Zitang Sun, Taiki Fukiage et al.
On Evaluating Policies for Robust POMDPs
Merlijn Krale, Eline M. Bovy, Maris F. L. Galesloot et al.
SyncVP: Joint Diffusion for Synchronous Multi-Modal Video Prediction
Enrico Pallotta, Sina Mokhtarzadeh Azar, Shuai Li et al.
Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning
Tuan Dam
Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance
Aladin Djuhera, Swanand Kadhe, Syed Zawad et al.
MoCha: Towards Movie-Grade Talking Character Generation
Cong Wei, Bo Sun, Haoyu Ma et al.
Generative Model Inversion Through the Lens of the Manifold Hypothesis
Xiong Peng, Bo Han, Fengfei Yu et al.
InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning
Haotian Chi, Zeyu Feng, Yueming LYU et al.
ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions
Yue Huang, Zhengzhe Jiang, Xiaonan Luo et al.
V^2Dial: Unification of Video and Visual Dialog via Multimodal Experts
Adnen Abdessaied, Anna Rohrbach, Marcus Rohrbach et al.
Correlation Dimension of Autoregressive Large Language Models
Xin Du, Kumiko Tanaka-Ishii
Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression
Jingfeng Wu, Pierre Marion, Peter Bartlett
First Attentions Last: Better Exploiting First Attentions for Efficient Parallel Training
Gyudong Kim, Hyukju Na, Jin Kim et al.
What Moves the Eyes: Doubling Mechanistic Model Performance Using Deep Networks to Discover and Test Cognitive Hypotheses
Federico D'Agostino, Lisa Schwetlick, Matthias Bethge et al.
MotionBind: Multi-Modal Human Motion Alignment for Retrieval, Recognition, and Generation
Kaleab Kinfu, Rene Vidal
Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares
Lachlan MacDonald, Hancheng Min, Leandro Palma et al.
SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations
Buyun Liang, Liangzu Peng, Jinqi Luo et al.
Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis
Jeonghwan Park, Niall McLaughlin, Ihsen Alouani
scGeneScope: A Treatment-Matched Single Cell Imaging and Transcriptomics Dataset and Benchmark for Treatment Response Modeling
Joel Dapello, Marcel Nassar, Ridvan Eksi et al.
Weak-to-Strong Generalization under Distribution Shifts
Myeongho Jeon, Jan Sobotka, Suhwan Choi et al.
ShapeWords: Guiding Text-to-Image Synthesis with 3D Shape-Aware Prompts
Dmitrii M Petrov, Pradyumn Goyal, Divyansh Shivashok et al.
Pseudo-Riemannian Graph Transformer
Viet Quan Le, Cuong Viet Ta
Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders
Mengyu Ye, Jun Suzuki, Tatsuro Inaba et al.
Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables
Futoshi Futami, Masahiro Fujisawa
Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation
Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno et al.
Exploration via Feature Perturbation in Contextual Bandits
Seouh-won Yi, Min-hwan Oh
Generating Physically Sound Designs from Text and a Set of Physical Constraints
Gregory Barber, Todd Henry, Mulugeta Haile
True Impact of Cascade Length in Contextual Cascading Bandits
Hyun-jun Choi, Joongkyu Lee, Min-hwan Oh
Thompson Sampling for Multi-Objective Linear Contextual Bandit
Somangchan Park, Heesang Ann, Min-hwan Oh
Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble
Hanyang Wang, Juergen Branke, Matthias Poloczek
Fast Tensor Completion via Approximate Richardson Iteration
Mehrdad Ghadiri, Matthew Fahrbach, Yunbum Kook et al.
Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning
Baiyuan Chen, Shinji Ito, Masaaki Imaizumi
Learning-Augmented Online Bidding in Stochastic Settings
Spyros Angelopoulos, Bertrand Simon
Efficient semantic uncertainty quantification in language models via diversity-steered sampling
Ji Won Park, Kyunghyun Cho
Feature Unlearning: Theoretical Foundations and Practical Applications with Shuffling
Yue Yang, Jinhao Li, Hao Wang
LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models
Yihao LIU, Xinqi Lyu, Dong Wang et al.
Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks
Hang Yu, Lyumin Wu, Wenxin Zhou et al.
Scaling Up Parameter Generation: A Recurrent Diffusion Approach
Kai Wang, Dongwen Tang, Wangbo Zhao et al.
Diffusion on Demand: Selective Caching and Modulation for Efficient Generation
Hee Min Choi, Hyoa Kang, Dokwan Oh et al.
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
Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems
Marcos Negre Saura, Richard Allmendinger, Wei Pan et al.
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.
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
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.
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.
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.
Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline
Kanghao Chen, Zixin Zhang, Guoqiang Liang et al.
IBGS: Image-Based Gaussian Splatting
Hoang Chuong Nguyen, Wei Mao, Jose M. Alvarez 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.
Geometric Imbalance in Semi-Supervised Node Classification
Liang Yan, Shengzhong Zhang, Bisheng Li et al.
Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization
Tan Pan, Kaiyu Guo, Dongli Xu et al.
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.
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.
One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting
Haipeng Liu, Yang Wang, Meng Wang
From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps
Paul Rosu, Lawrence Carin, Xiang Cheng
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.
Learning from A Single Markovian Trajectory: Optimality and Variance Reduction
Zhenyu Sun, Ermin Wei
Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs
Zhenbang Zhang, Jingtong Feng, Hongjia Li et al.
Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning
Hossein Rajoli Nowdeh, Jie Ji, Xiaolong Ma 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.
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.
H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition
Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii et al.
On the Hardness of Approximating Distributions with Tractable Probabilistic Models
John Leland, YooJung Choi
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
Progress Reward Model for Reinforcement Learning via Large Language Models
Xiuhui Zhang, Ning Gao, Xingyu Jiang et al.
ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion
Sungho Koh, SeungJu Cha, Hyunwoo Oh et al.
MultiScale Contextual Bandits for Long Term Objectives
Richa Rastogi, Yuta Saito, Thorsten Joachims
Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations
Jack Nugent, Siyang Wu, Zeyu Ma et al.
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
Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design
Yunfan Li, Eric Liu, Lin Yang
Smoothed Agnostic Learning of Halfspaces over the Hypercube
Yiwen Kou, Raghu Meka
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
Seonghoon Yu, Dongjun Nam, Dina Katabi et al.
Robust Estimation Under Heterogeneous Corruption Rates
Syomantak Chaudhuri, Jerry Li, Thomas Courtade
SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction
Fabian Immel, Jan-Hendrik Pauls, Richard Schwarzkopf et al.
Efficient Low Rank Attention for Long-Context Inference in Large Language Models
Li Tenghui, Guoxu Zhou, Xuyang Zhao 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.
Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance
Jack Goffinet, Youngjo Min, Carlo Tomasi et al.
Quantifying Elicitation of Latent Capabilities in Language Models
Elizabeth Donoway, Hailey Joren, Arushi Somani 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.
SPFL: Sequential updates with Parallel aggregation for Enhanced Federated Learning under Category and Domain Shifts
Haoyuan Liang, Shilei Cao, Li et al.
Scalable Neural Incentive Design with Parameterized Mean-Field Approximation
Nathan Corecco, Batuhan Yardim, Vinzenz Thoma et al.
Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
Sengim Karayalcin, Marina Krček, Stjepan Picek
Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification
Matan Schliserman, Tomer Koren
Enhancing Training Data Attribution with Representational Optimization
Weiwei Sun, Haokun Liu, Nikhil Kandpal et al.
The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
Adam Klivans, Konstantinos Stavropoulos, Kevin Tian 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
COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
Pengyi Li, Hongyao Tang, Yifu Yuan 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
Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
Zishen Zhang, Xiangzhe Kong, Wenbing Huang et al.
Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning Models
Yuheng Tang, Hongwei Li, Kaijie Zhu et al.
Depth-Width Tradeoffs for Transformers on Graph Tasks
Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher 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.
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.
CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
Pengyi Li, Shixiong Kai, Jianye Hao et al.
Dynamic Semantic-Aware Correlation Modeling for UAV Tracking
Xinyu Zhou, Tongxin Pan, Lingyi Hong et al.
LLM Layers Immediately Correct Each Other
Arjun Patrawala, Jiahai Feng, Erik Jones et al.
DualCnst: Enhancing Zero-Shot Out-of-Distribution Detection via Text-Image Consistency in Vision-Language Models
Fayi Le, Wenwu He, Chentao Cao et al.
OmniZoom: A Universal Plug-and-Play Paradigm for Cross-Device Smooth Zoom Interpolation
Xiaoan Zhu, Yue Zhao, Tianyang Hu et al.
PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs
Seungyoo Lee, Giung Nam, Moonseok Choi et al.
Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
Shivani Agarwal
IPSI: Enhancing Structural Inference with Automatically Learned Structural Priors
Zhongben Gong, Xiaoqun Wu, Mingyang Zhou
Prompt-guided Disentangled Representation for Action Recognition
tianci wu, Guangming Zhu, Lu jiang et al.
QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code
Hainan Fang, Yuanbo Wen, Jun Bi et al.
Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings
Hongling Zheng, Li Shen, Yong Luo et al.
Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces
Jifeng Hu, Sili Huang, Li Shen et al.
Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling
Linnan Tu, Lingwei Meng, Zongyi Li et al.
Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training
Shi Fu, Yingjie Wang, Yuzhu Chen et al.
Replicable Online pricing
Kiarash Banihashem, Mohammadhossein Bateni, Hossein Esfandiari et al.
Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration
Seungyeon Choi, Hwanhee Kim, Chihyun Park et al.
DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
Junchao Gong, Jingyi Xu, Ben Fei et al.
Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection
Anay Majee, Amitesh Gangrade, Rishabh Iyer
Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency
Peng Chen, Hailiang Zhao, Jiaji Zhang et al.