Most Cited 2025 "educational value assessment" Papers
22,274 papers found • Page 53 of 112
Conference
Logits are All We Need to Adapt Closed Models
Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee et al.
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
Muleilan Pei, Shaoshuai Shi, Lu Zhang et al.
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
Toby Boyne, Jose Pablo Folch, Robert Lee et al.
Short-PHD: Detecting Short LLM-generated Text with Topological Data Analysis After Off-topic Content Insertion
Dongjun Wei, Minjia Mao, Xiao Fang et al.
DEL: Context-Aware Dynamic Exit Layer for Efficient Self-Speculative Decoding
Hossein Entezari Zarch, Lei Gao, Chaoyi Jiang et al.
Unbiased Evaluation of Large Language Models from a Causal Perspective
Meilin Chen, Jian Tian, Liang Ma et al.
Speeding up Policy Simulation in Supply Chain RL
Vivek Farias, Joren Gijsbrechts, Aryan Khojandi et al.
Tokenized Bandit for LLM Decoding and Alignment
Suho Shin, Chenghao Yang, Haifeng Xu et al.
Language models align with brain regions that represent concepts across modalities
Maria Ryskina, Greta Tuckute, Alexander Fung et al.
In-context Ranking Preference Optimization
Junda Wu, Rohan Surana, Zhouhang Xie et al.
Position: Enough of Scaling LLMs! Lets Focus on Downscaling
Yash Goel, Ayan Sengupta, Tanmoy Chakraborty
Adaptive Computation Pruning for the Forgetting Transformer
Zhixuan Lin, Johan Obando-Ceron, Xu Owen He et al.
Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization
Weizhi Gao, Zhichao Hou, Junqi Yin et al.
Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making
Xu Wan, Wenyue Xu, Chao Yang et al.
Pretraining on the Test Set Is No Longer All You Need: A Debate-Driven Approach to QA Benchmarks
Linbo Cao, Jinman Zhao
Evaluating Large Language Models as Expert Annotators
Yu-Min Tseng, Wei-Lin Chen, Chung-Chi Chen et al.
VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding Manipulation
Ziang Ye, Yang Zhang, Wentao Shi et al.
Avoiding Catastrophe in Online Learning by Asking for Help
Benjamin Plaut, Hanlin Zhu, Stuart Russell
Lightweight Protocols for Distributed Private Quantile Estimation
Anders Aamand, Fabrizio Boninsegna, Abigail Gentle et al.
Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space
Xihang Yue, Yi Yang, Linchao Zhu
Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs
Itay Itzhak, Yonatan Belinkov, Gabriel Stanovsky
Overflow Prevention Enhances Long-Context Recurrent LLMs
Assaf Ben-Kish, Itamar Zimerman, Muhammad Jehanzeb Mirza et al.
Tackling View-Dependent Semantics in 3D Language Gaussian Splatting
Jiazhong Cen, Xudong Zhou, Jiemin Fang et al.
Register Always Matters: Analysis of LLM Pretraining Data Through the Lens of Language Variation
Amanda Myntti, Erik Henriksson, Veronika Laippala et al.
MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding
Mohan Jiang, Jin Gao, Jiahao Zhan et al.
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base
Linxin Song, Xuwei Ding, Jieyu Zhang et al.
Accurate and Efficient World Modeling with Masked Latent Transformers
Maxime Burchi, Radu Timofte
Policy Guided Tree Search for Enhanced LLM Reasoning
Yang Li
A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control
Zilin Kang, Chenyuan Hu, Yu Luo et al.
Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models
Jialin Zhao, Yingtao Zhang, Carlo Cannistraci
Learning to Match Unpaired Data with Minimum Entropy Coupling
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi
GCAL: Adapting Graph Models to Evolving Domain Shifts
Ziyue Qiao, Qianyi Cai, Hao Dong et al.
Tailoring Mixup to Data for Calibration
Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alché-Buc
ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
Pengwei Tang, Xiaolin Hu, Yong Liu
Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability
Zhiyu Zhu, Zhibo Jin, Jiayu Zhang et al.
Should Decision-Makers Reveal Classifiers in Online Strategic Classification?
Han Shao, Shuo Xie, Kunhe Yang
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
Qiyu Kang, Xuhao Li, Kai Zhao et al.
Stronger Neyman Regret Guarantees for Adaptive Experimental Design
Georgy Noarov, Riccardo Fogliato, Martin A Bertran et al.
SS-GEN: A Social Story Generation Framework with Large Language Models
Yi Feng, Mingyang Song, Jiaqi Wang et al.
QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval
Jaehyun Kwak, Izaaz Inhar, Se-Young Yun et al.
First-Order Automata
Luca Geatti, Alessandro Gianola, Nicola Gigante
Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions
Negin Golrezaei, Sourav Sahoo
Neural Conformal Control for Time Series Forecasting
Ruipu Li, Alexander Rodríguez
A Truncated Newton Method for Optimal Transport
Mete Kemertas, Amir-massoud Farahmand, Allan Jepson
Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building
Jaedong Hwang, Zhang-Wei Hong, Eric Chen et al.
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
Dohyeong Kim, Mineui Hong, Jeongho Park et al.
CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models
Sen Peng, Mingyue Wang, Jianfei He et al.
Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context
Harry Hughes, Michael Horton, Xinyu Wei et al.
Direct Density Ratio Optimization: A Statistically Consistent Approach to Aligning Large Language Models
Rei Higuchi, Taiji Suzuki
Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability
Yarden Bakish, Itamar Zimerman, Hila Chefer et al.
Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis
Jinhao Lin, Yifei Wang, Yanwu Xu et al.
Continuous Bayesian Model Selection for Multivariate Causal Discovery
Anish Dhir, Ruby Sedgwick, Avinash Kori et al.
Nearly Optimal Sample Complexity for Learning with Label Proportions
Robert Busa-Fekete, Travis Dick, Claudio Gentile et al.
Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks
Jia-Li Yin, Weijian Wang, Lyhwa et al.
Neural Networks Perform Sufficient Dimension Reduction
Shuntuo Xu, Zhou Yu
When to Forget? Complexity Trade-offs in Machine Unlearning
Martin Van Waerebeke, Marco Lorenzi, Giovanni Neglia et al.
Metalic: Meta-Learning In-Context with Protein Language Models
Jacob Beck, Shikha Surana, Manus McAuliffe et al.
S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field
Zixi Liang, Guowei Xu, Haifeng Wu et al.
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL
Lang Qin, Ziming Wang, Runhao Jiang et al.
Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
Anpeng Wu, Haiyi Qiu, Zhengming Chen et al.
IT$^3$: Idempotent Test-Time Training
Nikita Durasov, Assaf Shocher, Doruk Oner et al.
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das, Inderjit Dhillon, Alessandro Epasto et al.
AffinityFlow: Guided Flows for Antibody Affinity Maturation
Can Chen, Karla-Luise Herpoldt, Chenchao Zhao et al.
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy et al.
Theoretical Limitations of Ensembles in the Age of Overparameterization
Niclas Dern, John Cunningham, Geoff Pleiss
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
Chendi Ge, Xin Wang, Ziwei Zhang et al.
The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs
HONG LI, Nanxi Li, Yuanjie Chen et al.
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning
Wei Chen, Yi Zhou
Regretful Decisions under Label Noise
Sujay Nagaraj, Yang Liu, Flavio Calmon et al.
Towards Principled Unsupervised Multi-Agent Reinforcement Learning
Riccardo Zamboni, Mirco Mutti, Marcello Restelli
SOMBRL: Scalable and Optimistic Model-Based RL
Bhavya, Lenart Treven, Carmelo Sferrazza et al.
Ranked from Within: Ranking Large Multimodal Models Without Labels
Weijie Tu, Weijian Deng, Dylan Campbell et al.
LipsNet++: Unifying Filter and Controller into a Policy Network
Xujie Song, Liangfa Chen, Tong Liu et al.
LAuReL: Learned Augmented Residual Layer
Gaurav Menghani, Ravi Kumar, Sanjiv Kumar
Personalized Clustering via Targeted Representation Learning
Xiwen Geng, Suyun Zhao, Yixin Yu et al.
CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
Gen Zhou, Sugitha Janarthanan, Yutong Lu et al.
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
Ling Ding, Lei Huang, Zhizhi Yu et al.
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Dominik Fuchsgruber, Tim Postuvan, Stephan Günnemann et al.
Over-squashing in Spatiotemporal Graph Neural Networks
Ivan Marisca, Jacob Bamberger, Cesare Alippi et al.
Transformer Encoder Satisfiability: Complexity and Impact on Formal Reasoning
Marco Sälzer, Eric Alsmann, Martin Lange
LabelAny3D: Label Any Object 3D in the Wild
Jin Yao, Radowan Mahmud Redoy, Sebastian Elbaum et al.
An Effective Theory of Bias Amplification
Arjun Subramonian, Samuel Bell, Levent Sagun et al.
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
Kaiyu Guo, Zijian Wang, Tan Pan et al.
Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference
Jorge García-Carrasco, Alejandro Maté, Juan Trujillo
SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization
Runsheng Bai, Bo Liu, qiang liu
ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO
Daechul Ahn, Yura Choi, San Kim et al.
Universal Visuo-Tactile Video Understanding for Embodied Interaction
Yifan Xie, Mingyang Li, Shoujie Li et al.
Rethinking Circuit Completeness in Language Models: AND, OR, and ADDER Gates
Hang Chen, Jiaying Zhu, Xinyu Yang et al.
How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects
Wonkwang Lee, Jongwon Jeong, Taehong Moon et al.
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation
Jiayi Lin, Jiabo Huang, Jian Hu et al.
Improving Bilinear RNN with Closed-loop Control
Jiaxi Hu, Yongqi Pan, Jusen Du et al.
Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset
Sithu Aung, Min-Cheol Sagong, Junghyun Cho
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
Yuming Zhang, Shouxin Zhang, Peizhe Wang et al.
Can Generative Models Improve Self-Supervised Representation Learning?
Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani et al.
Whitened CLIP as a Likelihood Surrogate of Images and Captions
Roy Betser, Meir Yossef Levi, Guy Gilboa
Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity
Dmitry Bylinkin, Aleksandr Beznosikov
A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
Edward Chang
Online and Streaming Algorithms for Constrained k-Submodular Maximization
Fabian Christian Spaeh, Alina Ene, Huy Nguyen
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
Yein Park, Chanwoong Yoon, Jungwoo Park et al.
Medical Manifestation-Aware De-Identification
Yuan Tian, Shuo Wang, Guangtao Zhai
Contrastive Visual Data Augmentation
Yu Zhou, Bingxuan Li, Mohan Tang et al.
SigStyle: Signature Style Transfer via Personalized Text-to-Image Models
Ye Wang, Tongyuan Bai, Xuping Xie et al.
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
Songran Bai, Yuheng Ji, Yue Liu et al.
Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence
Zixi Chen, Yumin Xu, Ruixun Zhang
Multi-StyleGS: Stylized Gaussian Splatting with Multiple Styles
Yangkai Lin, Jiabao Lei, Kui Jia
When and How Does CLIP Enable Domain and Compositional Generalization?
Elias Kempf, Simon Schrodi, Max Argus et al.
Learning Optimal Multimodal Information Bottleneck Representations
Qilong Wu, Yiyang Shao, Jun Wang et al.
Subtask-Aware Visual Reward Learning from Segmented Demonstrations
Changyeon Kim, Minho Heo, Doohyun Lee et al.
Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation
Byungjai Kim, Chanho Ahn, Wissam Baddar et al.
Adaptive Pruning of Pretrained Transformer via Differential Inclusions
yizhuo Ding, Ke Fan, Yikai Wang et al.
SPACETIME: Causal Discovery from Non-Stationary Time Series
Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad et al.
Neural Guided Diffusion Bridges
Gefan Yang, Frank van der Meulen, Stefan Sommer
Predicting the Susceptibility of Examples to Catastrophic Forgetting
Guy Hacohen, Tinne Tuytelaars
Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning
Jun-Xiang Mao, Yong Rui, Min-Ling Zhang
Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger
Qi Yang, Chenghao Zhang, Lubin Fan et al.
ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension
Tianren Ma, Lingxi Xie, Yunjie Tian et al.
Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”
Yudong Zhang, Ruobing Xie, Jiansheng Chen et al.
Risk-averse Total-reward MDPs with ERM and EVaR
Xihong Su, Marek Petrik, Julien Grand-Clément
Privacy Amplification Through Synthetic Data: Insights from Linear Regression
Clément Pierquin, Aurélien Bellet, Marc Tommasi et al.
MaskPrompt: Open-Vocabulary Affordance Segmentation with Object Shape Mask Prompts
Dongpan Chen, Dehui Kong, Jinghua Li et al.
Adaptive backtracking for faster optimization
Joao V. Cavalcanti, Laurent Lessard, Ashia Wilson
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Ruichu Cai, Haiqin Huang, Zhifan Jiang et al.
Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation
xin zhang, Ziruo Zhang, JIAWEI DU et al.
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
Yanna Ding, Zijie Huang, Xiao Shou et al.
On the Power of Learning-Augmented Search Trees
Jingbang Chen, Xinyuan Cao, Alicia Stepin et al.
Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models
Yuan Li, Zhengzhong Liu, Eric Xing
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
Kyle Cox, Jiawei Xu, Yikun Han et al.
Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias
Yuanzhe Hu, Kinshuk Goel, Vlad Killiakov et al.
A Layer Selection Approach to Test Time Adaptation
Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawe et al.
Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation
Tianyi Zhang, Junda Su, Aditya Desai et al.
IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation
Qi Chen, Changli Wu, Jiayi Ji et al.
CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection
Qibo Chen, Weizhong Jin, Jianyue Ge et al.
CohEx: A Generalized Framework for Cohort Explanation
Fanyu Meng, Xin Liu, Zhaodan Kong et al.
Revisiting Attention for Multivariate Time Series Forecasting
Haixiang Wu
Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation
Chao Jiang, Miqing Li
The Impact of Literal Sorting on Cardinality Constraint Encodings
Joseph E. Reeves, João Filipe, Min-Chien Hsu et al.
Evaluating multiple models using labeled and unlabeled data
Divya Shanmugam, Shuvom Sadhuka, Manish Raghavan et al.
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters
Arsalan Sharifnassab, Saber Salehkaleybar, Rich Sutton
DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization
Qiuxia Wu, Haiyang Huang, Kunming Su et al.
Entropy Rectifying Guidance for Diffusion and Flow Models
Tariq Berrada Ifriqi, Adriana Romero-Soriano, Michal Drozdzal et al.
DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment
Gaofeng Liu, Zhiyuan Ma, Tao Fang
FIRM: Flexible Interactive Reflection ReMoval
Xiao Chen, Xudong Jiang, Yunkang Tao et al.
Enhancing Multimodal Affective Analysis with Learned Live Comment Features
Zhaoyuan Deng, Amith Ananthram, Kathleen McKeown
Ultra-High-Definition Dynamic Multi-Exposure Image Fusion via Infinite Pixel Learning
Xingchi Chen, Zhuoran Zheng, Xuerui Li et al.
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
Xinyue Chen, Miaojing Shi, Zijian Zhou et al.
Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping
Guangyi Liu, Suzan Iloglu, Michael Caldara et al.
Multi-Dimensional Conformal Prediction
Yam Tawachi, Bracha Laufer-Goldshtein
TAU-106K: A New Dataset for Comprehensive Understanding of Traffic Accident
Yixuan Zhou, Long Bai, Sijia Cai et al.
$\phi$-Update: A Class of Policy Update Methods with Policy Convergence Guarantee
Wenye Li, Jiacai Liu, Ke Wei
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
Franco Galante, Giovanni Neglia, Emilio Leonardi
Replicable Online Learning
Saba Ahmadi, Siddharth Bhandari, Avrim Blum
Differentially Private Federated $k$-Means Clustering with Server-Side Data
Jonathan Scott, Christoph Lampert, David Saulpic
Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
Wenju Sun, Qingyong Li, Wen Wang et al.
Differentiable Information Enhanced Model-Based Reinforcement Learning
Xiaoyuan Zhang, Xinyan Cai, Bo Liu et al.
A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic
Fuqi Jia, Yuhang Dong, Rui Han et al.
Heterogeneous Multi-Agent Bandits with Parsimonious Hints
Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo et al.
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection
Tingyi Cai, Yunliang Jiang, Ming Li et al.
RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers
Xuwei Xu, Yang Li, Yudong Chen et al.
Enhancing LLMs via High-Knowledge Data Selection
Feiyu Duan, Xuemiao Zhang, Sirui Wang et al.
Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data
Hengyu Fu, Zehao Dou, Jiawei Guo et al.
Fairness Shields: Safeguarding against Biased Decision Makers
Filip Cano, Thomas A. Henzinger, Bettina Könighofer et al.
Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging
Behrooz Tahmasebi, Stefanie Jegelka
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits
Asaf Cassel, Orin Levy, Yishay Mansour
Differentially private learners for heterogeneous treatment effects
Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
Junwei Su, Shan Wu
Minimum Width for Universal Approximation using Squashable Activation Functions
Jonghyun Shin, Namjun Kim, Geonho Hwang et al.
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
Julius Von Rohrscheidt, Bastian Rieck
DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech
Yongkang Cheng, Shaoli Huang, Xuelin Chen et al.
Quantified Linear and Polynomial Arithmetic Satisfiability via Template-based Skolemization
Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi et al.
Reducing Divergence in Batch Normalization for Domain Adaptation
Ellen Yi-Ge, Mingjing Wu, Zhenghan Chen
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation
Shentong Mo
A Scalable and Effective Alternative to Graph Transformers
Kaan Sancak, Zhigang Hua, Jin Fang et al.
The impact of uncertainty on regularized learning in games
Pierre-Louis Cauvin, Davide Legacci, Panayotis Mertikopoulos
Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
Hyungkyu Kang, Min-hwan Oh
Primal-Dual Neural Algorithmic Reasoning
Yu He, Ellen Vitercik
Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
Dongsu Lee, Minhae Kwon
A Model of Place Field Reorganization During Reward Maximization
M Ganesh Kumar, Blake Bordelon, Jacob A Zavatone-Veth et al.
MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval
Huaying Yuan, Jian Ni, Zheng Liu et al.
BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Neural Spacetimes for DAG Representation Learning
Haitz Sáez de Ocáriz Borde, Anastasis Kratsios, Marc T Law et al.
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference
Zewen Jin, Shengnan Wang, Jiaan Zhu et al.
Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
Edoardo Urettini, Antonio Carta
Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving
Yuxuan Zhou, Xien Liu, Chenwei Yan et al.
Meta-Continual Learning of Neural Fields
Seungyoon Woo, Junhyeog Yun, Gunhee Kim
SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries
Darin Tsui, Aryan Musharaf, Yigit Efe Erginbas et al.
Partial Gromov-Wasserstein Metric
Yikun Bai, Rocio Diaz Martin, Abihith Kothapalli et al.
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
Hanlin Yang, Jian Yao, Weiming Liu et al.
Contextual Linear Bandits with Delay as Payoff
Mengxiao Zhang, Yingfei Wang, Haipeng Luo
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
Songjun Tu, Jingbo Sun, Qichao Zhang et al.
Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs
Jie Zhang, Zhongqi Wang, Mengqi Lei et al.
Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors
Siyuan Chen, Zhuofeng Wang, Zelong Guan et al.
Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts
Li gengluo, Huawen Shen, Yu ZHOU
Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond
Giuseppe Serra, Florian Buettner
Multipole Attention for Efficient Long Context Reasoning
Coleman Hooper, Sebastian Zhao, Luca Manolache et al.
Preventing Shortcuts in Adapter Training via Providing the Shortcuts
Anujraaj Goyal, Guocheng Qian, Huseyin Coskun et al.
URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model
Zhe Li, Xiang Bai, Jieyu Zhang et al.
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
Haoyang Li, Li Bai, Qingqing Ye et al.
SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches
Hiroyuki Deguchi, Go Kamoda, Yusuke Matsushita et al.
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
Chi-Ning Chou, Hang Le, Yichen Wang et al.
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
Caleb Chuck, Fan Feng, Carl Qi et al.