Most Cited 2025 "pixel-based text representations" Papers
22,274 papers found • Page 80 of 112
Conference
Learning Task-Agnostic Representations through Multi-Teacher Distillation
Philippe Formont, Maxime Darrin, Banafsheh Karimian et al.
Efficient Representativeness-Aware Coreset Selection
Zihao Cheng, Binrui Wu, Zhiwei Li et al.
Scalable Signature Kernel Computations via Local Neumann Series Expansions
Matthew Tamayo-Rios, Alexander Schell, Rima Alaifari
HypoBootstrap: A Bootstrapping Framework for Inductive Reasoning
Si Chen, Yifei Li, Richong Zhang
Quantum Visual Fields with Neural Amplitude Encoding
Shuteng Wang, Christian Theobalt, Vladislav Golyanik
Reinforcement learning for one-shot DAG scheduling with comparability identification and dense reward
Xumai Qi, Dongdong Zhang, Taotao Liu et al.
Inverse Methods for Missing Data Imputation
Hao Wang, zhengnan li, Zhichao Chen et al.
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.
TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering
Chun Gu, Xiaofei Wei, Li Zhang 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.
Identifying latent state transitions in non-linear dynamical systems
Çağlar Hızlı, Çağatay Yıldız, Matthias Bethge et al.
Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
Dongseob Kim, Hyunjung Shim
TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks
Xiang Meng, Mehdi Makni, Rahul Mazumder
Wide2Long: Learning Lens Compression and Perspective Adjustment for Wide-Angle to Telephoto Translation
Soumyadipta Banerjee, Jiaul Paik, Debashis Sen
A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
Jiaming Zhuo, Ziyi Ma, Yintong Lu et al.
Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study
Yotam Alexander, Yonatan Slutzky, Yuval Ran-Milo et al.
FrameShield: Adversarially Robust Video Anomaly Detection
Mojtaba Nafez, Mobina Poulaei, Nikan Vasei 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.
Unsupervised Federated Graph Learning
Lele Fu, Tianchi Liao, Sheng Huang et al.
Penalizing Boundary Activation for Object Completeness in Diffusion Models
Haoyang Xu, Tianhao Zhao, Sibei Yang 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.
Fuzzy Contrastive Decoding to Alleviate Object Hallucination in Large Vision-Language Models
Jieun Kim, Jinmyeong Kim, Yoonji Kim et al.
Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression
Shiyu Qin, Jinpeng Wang, Yimin Zhou 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.
F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning
Hangwei Zhang, Chun Kang, Yan Wang 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
Multi-modal Segment Anything Model for Camouflaged Scene Segmentation
Guangyu Ren, Hengyan Liu, Michalis Lazarou et al.
An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models
Bo Peng, Jie Lu, Guangquan Zhang et al.
DisCo: Towards Distinct and Coherent Visual Encapsulation in Video MLLMs
JIAHE ZHAO, rongkun Zheng, Yi Wang 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.
EquiPose: Exploiting Permutation Equivariance for Relative Camera Pose Estimation
Yuzhen Liu, Qiulei Dong
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.
MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection
shengtian yang, Yue Feng, Yingshi Liu 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.
What's New in My Data? Novelty Exploration via Contrastive Generation
Masaru Isonuma, Ivan Titov
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.
Adaptive Sigmoid Clipping for Balancing the Direction–Magnitude Mismatch Trade-off in Differentially Private Learning
Faeze Moradi Kalarde, Ali Bereyhi, Ben Liang et al.
M^3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation
Zixuan Chen, Jiaxin Li, Junxuan Liang 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.
TreeSplat: Mergeable Tree for Deformable Gaussian Splatting
Qiuhong Shen, Xingyi Yang, Xinchao Wang
Estimation of Stochastic Optimal Transport Maps
Sloan Nietert, Ziv Goldfeld
Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes
Zhou Yang, Mingtao Feng, Tao Huang et al.
Modeling Neural Activity with Conditionally Linear Dynamical Systems
Victor Geadah, Amin Nejatbakhsh, David Lipshutz et al.
Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion Models
Zhenguang Liu, Chao Shuai, Shaojing Fan et al.
Dense Metric Depth Estimation via Event-based Differential Focus Volume Prompting
Boyu Li, Peiqi Duan, Zhaojun Huang et al.
Leveraging 2D Priors and SDF Guidance for Urban Scene Rendering
Siddharth Tourani, Jayaram Reddy, Akash Kumbar et al.
Temperature in Cosine-based Softmax Loss
Takumi Kobayashi
On Evaluating Policies for Robust POMDPs
Merlijn Krale, Eline M. Bovy, Maris F. L. Galesloot et al.
PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion
Linlian Jiang, Rui Ma, Li Gu et al.
RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation
Zixun Wang, Ben Dai
ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning
Haoyuan Yang, Xiaoou Li, Jiaming Lv et al.
Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning
Tuan Dam
A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement
Linlin Fan, Xingyu Liu, Mingliang Zhou et al.
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.
Knowledge Transfer from Interaction Learning
Yilin Gao, Kangyi Chen, Zhongxing Peng et al.
ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions
Yue Huang, Zhengzhe Jiang, Xiaonan Luo et al.
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
Yang Chen, Menglin Zou, Jiaqi Zhang et al.
Cross-View Isolated Sign Language Recognition via View Synthesis and Feature Disentanglement
Xin Shen, Xinyu Wang, Lei Shen et al.
Correlation Dimension of Autoregressive Large Language Models
Xin Du, Kumiko Tanaka-Ishii
Vid-Group: Temporal Video Grounding Pretraining from Unlabeled Videos in the Wild
Peijun Bao, Chenqi Kong, SIYUAN YANG et al.
Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression
Jingfeng Wu, Pierre Marion, Peter Bartlett
PlanarGS: High-Fidelity Indoor 3D Gaussian Splatting Guided by Vision-Language Planar Priors
Xirui Jin, Renbiao Jin, Boying Li et al.
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
A unified framework for establishing the universal approximation of transformer-type architectures
Jingpu Cheng, Ting Lin, Zuowei Shen et al.
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.
Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning
boheng liu, Ziyu Li, Chenghua Duan et al.
Predictable Scale (Part II) --- Farseer: A Refined Scaling Law in LLMs
Houyi Li, Wenzhen Zheng, Qiufeng Wang et al.
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.
Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning
Wenjun Huang, Ziteng Cui, Yinqiang Zheng et al.
Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging
Max Kahl, Sebastian Stricker, Lisa Hutschenreiter et al.
Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making
Tianyuan Jia, Ziyu Li, Qing Li et al.
IndoorGS: Geometric Cues Guided Gaussian Splatting for Indoor Scene Reconstruction
Cong Ruan, Yuesong Wang, Bin Zhang 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.
Pacmann: Efficient Private Approximate Nearest Neighbor Search
Mingxun Zhou, Elaine Shi, Giulia Fanti
Exploration via Feature Perturbation in Contextual Bandits
Seouh-won Yi, Min-hwan Oh
PiCO: Peer Review in LLMs based on Consistency Optimization
Kun-Peng Ning, Shuo Yang, Yuyang Liu et al.
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
Accident Anticipation via Temporal Occurrence Prediction
Tianhao Zhao, Yiyang Zou, Zihao Mao et al.
FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting
Fares Mehouachi, Saif Eddin Jabari
Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game
Tingting Dan, Xinwei Huang, Won Hwa Kim et al.
Topology-aware Graph Diffusion Model with Persistent Homology
Joonhyuk Park, Donghyun Lee, Yujee Song et al.
Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation
Qin Zhou, Guoyan Liang, Xindi Li et al.
Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making
Larkin Liu, Jalal Etesami
VLR-Driver: Large Vision-Language-Reasoning Models for Embodied Autonomous Driving
Fanjie Kong, Yitong Li, Weihuang Chen et al.
SPRO: Improving Image Generation via Self-Play
Ritika Jha, Aanisha Bhattacharyya, Yaman Singla et al.
OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning
Zeting Chen, Xinyu Cai, Molei Qin et al.
Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework
Yi Yu, Weizhen Han, Libing Wu et al.
Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics
Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi
Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential
Tianxiao He, Malhar Patel, Chenyi Li et al.
Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis
Neeraj Kumar, Chad Vanderbilt
Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models
Jing Zuo, Luoping Cui, Chuang Zhu et al.
SparseLaneSTP: Leveraging Spatio-Temporal Priors with Sparse Transformers for 3D Lane Detection
Maximilian Pittner, Joel Janai, Mario Faigle et al.
Superpowering Open-Vocabulary Object Detectors for X-ray Vision
Pablo Garcia-Fernandez, Lorenzo Vaquero, Mingxuan Liu et al.
FHGS: Feature-Homogenized Gaussian Splatting
qigeng duan, Benyun ZHAO, Mingqiao Han et al.
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
Susmit Agrawal, Krishn Vishwas Kher, Saksham Mittal et al.
Dropout Regularization Versus l2-Penalization in the Linear Model
Gabriel Clara, Sophie Langer, Johannes Schmidt-Hieber
Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
Wenjing Tang, Xinyu He, Yongxi Huang et al.
Opportunistic Single-Photon Time of Flight
Sotiris Nousias, Mian Wei, Howard Xiao et al.
Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains
Dongzhe Zheng, Wenjie Mei
More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation
Derui Zhu, Dingfan Chen, jinfu chen et al.
SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation
Jongmin Lee, Meiqi Sun, Pieter Abbeel
ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources
Jason Wu, Yuyang Yuan, Kang Yang et al.
Information Retrieval Induced Safety Degradation in AI Agents
Cheng Yu, Benedikt Stroebl, Diyi Yang et al.
Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval
Yushuai Sun, Zikun Zhou, Dongmei Jiang et al.
Position: Require Frontier AI Labs To Release Small "Analog" Models
Shriyash Upadhyay, Philip Quirke, Narmeen Oozeer et al.
Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
Chenguang Duan, Yuling Jiao, Huazhen Lin et al.
Differentiable Decision Tree via "ReLU+Argmin" Reformulation
Qiangqiang Mao, Jiayang Ren, Yixiu Wang et al.
HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions
Dor Tsur, Carol Long, Claudio Mayrink Verdun et al.
High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
Xilin Xia, Jie Wang, Wanbo Zhang et al.
Differentially Private High-dimensional Variable Selection via Integer Programming
Petros Prastakos, Kayhan Behdin, Rahul Mazumder
Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
Jianghao Lin, Rong Shan, Jiachen Zhu et al.
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
Chaewoon Bae, Doyun Choi, Jaehyun Lee et al.
Approximating Shapley Explanations in Reinforcement Learning
Daniel Beechey, Özgür Şimşek
CAMO: Convergence-Aware Multi-Fidelity Bayesian Optimization
WEI XING, Zhenjie Lu, Akeel Shah
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning
Congyu Qiao, Ning Xu, Yihao Hu et al.
LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
Zixuan Hu, Yongxian Wei, Li Shen et al.
CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning
Ronghao Lin, Qiaolin He, Sijie Mai et al.
UIPro: Unleashing Superior Interaction Capability For GUI Agents
Hongxin Li, Jingran Su, Jingfan CHEN et al.
Bridging Crypto with ML-based Solvers: the SAT Formulation and Benchmarks
Xinhao Zheng, Xinhao Song, Bolin Qiu et al.
A Learning-Augmented Approach to Online Allocation Problems
Ilan Cohen, Debmalya Panigrahi
NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache
Donghyun Son, Euntae Choi, Sungjoo Yoo
Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function
Yi-Chen Li, Zhongxiang Ling, Tao Jiang et al.
Latent Principle Discovery for Language Model Self-Improvement
Keshav Ramji, Tahira Naseem, Ramón Astudillo
Structure-Aware Correspondence Learning for Relative Pose Estimation
Yihan Chen, Wenfei Yang, Huan Ren et al.
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
Huitong Yang, Zhuoxiao Chen, Fengyi Zhang et al.
Online Optimization for Offline Safe Reinforcement Learning
Yassine Chemingui, Aryan Deshwal, Alan Fern et al.
MotionCtrl: A Real-time Controllable Vision-Language-Motion Model
Bin Cao, Sipeng Zheng, Ye Wang et al.
Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
Alan Lahoud, Erik Schaffernicht, Johannes Andreas Stork
Mixture of Inputs: Text Generation Beyond Discrete Token Sampling
Yufan Zhuang, Liyuan Liu, Chandan Singh et al.
Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection
Zheng Zhan, Liliang Ren, Shuohang Wang et al.
Dual-Expert Consistency Model for Efficient and High-Quality Video Generation
Zhengyao Lyu, Chenyang Si, Tianlin Pan et al.
Straighten Viscous Rectified Flow via Noise Optimization
Jimin Dai, Jiexi Yan, Jian Yang et al.
ChemX: A Collection of Chemistry Datasets for Benchmarking Automated Information Extraction
Anastasia Vepreva, Julia Razlivina, Mariia Eremeyeva et al.
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
Paul Brunzema, Sebastian Trimpe
Scalable Dual Fingerprinting for Hierarchical Attribution of Text-to-Image Models
Jianwei Fei, Yunshu Dai, Peipeng Yu et al.
Unsupervised Discovery of Facial Landmarks and Head Pose
Satyajit Tourani, Siddharth Tourani, Arif Mahmood et al.
Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks
Navid Hashemi, Samuel Sasaki, Ipek Oguz et al.
Bridging Expressivity and Scalability with Adaptive Unitary SSMs
Arjun Karuvally, Franz Nowak, Andy Keller et al.
Efficient Allocation of Working Memory Resource for Utility Maximization in Humans and Recurrent Neural Networks
Qingqing Yang, Hsin-Hung Li
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
Shiji Zhou, Tianbai Yu, Zhi Zhang et al.
RhythmGuassian: Repurposing Generalizable Gaussian Model For Remote Physiological Measurement
Hao LU, Yuting Zhang, Jiaqi Tang et al.
Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework
Shixuan Wang, Jingwen Ye, Xinchao Wang
Learning Robust Vision-Language Models from Natural Latent Spaces
Zhangyun Wang, Ni Ding, Aniket Mahanti
SSRB: Direct Natural Language Querying to Massive Heterogeneous Semi-Structured Data
Xin Zhang, Mingxin Li, Yanzhao Zhang et al.
Learning to Learn with Contrastive Meta-Objective
Shiguang Wu, Yaqing Wang, Yatao Bian et al.
Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling
Hongyi Nie, Yaqing Wang, Mingyang Zhou et al.
Mixture of Submodules for Domain Adaptive Person Search
Minsu Kim, Seungryong Kim, Kwanghoon Sohn
CRAM: Large Scale Video Continual Learning with Bootstrapped Compression
Shivani Mall, Joao F. Henriques
Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy
Inkook Chun, Seungjae Lee, Michael Albergo et al.
NETracer: A Topology-Aware Iterative Tracing Approach for Tubular Structure Extraction
Chao Liu, Yangbo Jiang, Nenggan Zheng
Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism
Sameera Ramasinghe, Thalaiyasingam Ajanthan, Gil Avraham et al.
How Particle System Theory Enhances Hypergraph Message Passing
Yixuan Ma, Kai Yi, Pietro Lió et al.
Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized Constraints
Jiahao Xia, Yike Wu, Wenjian Huang et al.
Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis
Yufeng Zou, Zijian Wang, Diego Klabjan et al.
Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles
Aadirupa Saha, Robert Schapire
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
Mojtaba Kolahdouzi, Hatice Gunes, Ali Etemad
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
Satoki Ishikawa, Makoto Yamada, Han Bao et al.
Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning
Gyoung S. Na, Chanyoung Park
Probing Hidden Knowledge Holes in Unlearned LLMs
Myeongseob Ko, Hoang Anh Just, Charles Fleming et al.
Reinforcement Learning with Backtracking Feedback
Bilgehan Sel, Vaishakh Keshava, Phillip Wallis et al.
Neural Evolution Strategy for Black-box Pareto Set Learning
Chengyu Lu, Zhenhua Li, Xi Lin et al.