Most Cited 2025 Poster Papers
22,274 papers found • Page 25 of 112
Conference
Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval
Davide Caffagni, Sara Sarto, Marcella Cornia et al.
Transformative or Conservative? Conservation laws for ResNets and Transformers
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
On the Performance Analysis of Momentum Method: A Frequency Domain Perspective
Xianliang Li, Jun Luo, Zhiwei Zheng et al.
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
Rong-Xi Tan, Ming Chen, Ke Xue et al.
Secret Lies in Color: Enhancing AI-Generated Images Detection with Color Distribution Analysis
Zexi Jia, Chuanwei Huang, Yeshuang Zhu et al.
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
Haozheng Luo, Chenghao Qiu, Maojiang Su et al.
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
Luyuan Xie, Tianyu Luan, Wenyuan Cai et al.
ScImage: How good are multimodal large language models at scientific text-to-image generation?
Leixin Zhang, Steffen Eger, Yinjie Cheng et al.
Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
Wanjin Feng, Xingyu Gao, Wenqian Du et al.
Towards All-in-One Medical Image Re-Identification
Yuan Tian, Kaiyuan Ji, Rongzhao Zhang et al.
Discriminating image representations with principal distortions
Jenelle Feather, David Lipshutz, Sarah Harvey et al.
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
Wenxuan Bao, Zhichen Zeng, Zhining Liu et al.
CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation
Minghao Fu, Guo-Hua Wang, Liangfu Cao et al.
MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness
Yunlong Tang, Pinxin Liu, Mingqian Feng et al.
GIVEPose: Gradual Intra-class Variation Elimination for RGB-based Category-Level Object Pose Estimation
Ziqin Huang, Gu Wang, Chenyangguang Zhang et al.
DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing
Yufei Huang, Bangyan Liao, Yuqi Hu et al.
X-Hacking: The Threat of Misguided AutoML
Rahul Sharma, Sumantrak Mukherjee, Andrea Šipka et al.
HOP: Heterogeneous Topology-based Multimodal Entanglement for Co-Speech Gesture Generation
Hongye Cheng, Tianyu Wang, guangsi shi et al.
WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression
Yu Mao, Jun Wang, Nan Guan et al.
SlimLLM: Accurate Structured Pruning for Large Language Models
Jialong Guo, Xinghao Chen, Yehui Tang et al.
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
Lars van der Laan, Ahmed Alaa
ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models
Jianrong Lu, Zhiyu Zhu, Junhui Hou
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
Jianxin Zhang, Josh Viktorov, Doosan Jung et al.
Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations
Jeonghyeon Kim, Sangheum Hwang
CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models
Junbo Yin, Chao Zha, Wenjia He et al.
SphereUFormer: A U-Shaped Transformer for Spherical 360 Perception
Yaniv Benny, Lior Wolf
Differential Privacy Under Class Imbalance: Methods and Empirical Insights
Lucas Rosenblatt, Yuliia Lut, Ethan Turok et al.
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness
Qi Zhang, Yifei Wang, Jingyi Cui et al.
BoA: Attention-aware Post-training Quantization without Backpropagation
Junhan Kim, Ho-young Kim, Eulrang Cho et al.
Tight Lower Bounds and Improved Convergence in Performative Prediction
Pedram Khorsandi, Rushil Gupta, Mehrnaz Mofakhami et al.
Subgraph Federated Learning for Local Generalization
Sungwon Kim, Yoonho Lee, Yunhak Oh et al.
GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data
Zhiteng Li, Lele Chen, Jerone Andrews et al.
Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark
Bingchen Miao, Yang Wu, Minghe Gao et al.
Statistical inference for Linear Stochastic Approximation with Markovian Noise
Sergey Samsonov, Marina Sheshukova, Eric Moulines et al.
Group Downsampling with Equivariant Anti-aliasing
Md Ashiqur Rahman, Raymond A. Yeh
$\texttt{STRCMP}$: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization
Xijun Li, Jiexiang Yang, Jinghao Wang et al.
Enhancing Decision-Making of Large Language Models via Actor-Critic
Heng Dong, Kefei Duan, Chongjie Zhang
Guaranteed Generation from Large Language Models
Minbeom Kim, Thibaut Thonet, Jos Rozen et al.
Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages
Michael Sun, Weize Yuan, Gang Liu et al.
Emotional Face-to-Speech
Jiaxin Ye, Boyuan Cao, Hongming Shan
Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation
Mingyuan Zhou, Zhendong Wang, Huangjie Zheng et al.
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
Timo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn
Capturing Individual Human Preferences with Reward Features
Andre Barreto, Vincent Dumoulin, Yiran Mao et al.
ImProver: Agent-Based Automated Proof Optimization
Riyaz Ahuja, Jeremy Avigad, Prasad Tetali et al.
iSegMan: Interactive Segment-and-Manipulate 3D Gaussians
Yian Zhao, Wanshi Xu, Ruochong Zheng et al.
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
Jiawei Xu, Rui Yang, Shuang Qiu et al.
Full-DoF Egomotion Estimation for Event Cameras Using Geometric Solvers
Ji Zhao, Banglei Guan, Zibin Liu et al.
Quantifying Prediction Consistency Under Fine-tuning Multiplicity in Tabular LLMs
Faisal Hamman, Sachindra P Dissanayake, Saumitra Mishra et al.
GIFStream: 4D Gaussian-based Immersive Video with Feature Stream
Hao Li, Sicheng Li, Xiang Gao et al.
MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment
Tianze Wang, Dongnan Gui, Yifan Hu et al.
Distilling Dataset into Neural Field
Donghyeok Shin, HeeSun Bae, Gyuwon Sim et al.
Focus On This, Not That! Steering LLMs with Adaptive Feature Specification
Tom A. Lamb, Adam Davies, Alasdair J Paren et al.
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
Patrick Kahardipraja, Reduan Achtibat, Thomas Wiegand et al.
Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set
Xinyu Liu, Zixuan Xie, Shangtong Zhang
Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attack on Breast Ultrasound Images
Yasamin Medghalchi, Moein Heidari, Clayton Allard et al.
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation
Song Duong, Florian Le Bronnec, Alexandre Allauzen et al.
AssistanceZero: Scalably Solving Assistance Games
Cassidy Laidlaw, Eli Bronstein, Timothy Guo et al.
Dataset Ownership Verification in Contrastive Pre-trained Models
Yuechen Xie, Jie Song, Mengqi Xue et al.
WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction
Fanmeng Wang, Minjie Cheng, Hongteng Xu
OpenSDI: Spotting Diffusion-Generated Images in the Open World
Yabin Wang, Zhiwu Huang, Xiaopeng Hong
Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits
Ashish Khisti, MohammadReza Ebrahimi, Hassan Dbouk et al.
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model
Ryugo Morita, Stanislav Frolov, Brian Bernhard Moser et al.
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
Cansu Sancaktar, Christian Gumbsch, Andrii Zadaianchuk et al.
Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis et al.
Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
Harit Vishwakarma, Alan Mishler, Thomas Cook et al.
Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
Chengting Yu, Xiaochen Zhao, Lei Liu et al.
A Theoretical Framework For Overfitting In Energy-based Modeling
Giovanni Catania, Aurélien Decelle, Cyril Furtlehner et al.
MixerMDM: Learnable Composition of Human Motion Diffusion Models
Pablo Ruiz-Ponce, German Barquero, Cristina Palmero et al.
Gradient Boosting Reinforcement Learning
Benjamin Fuhrer, Chen Tessler, Gal Dalal
Nesterov acceleration in benignly non-convex landscapes
Kanan Gupta, Stephan Wojtowytsch
Controllable Blur Data Augmentation Using 3D-Aware Motion Estimation
Insoo Kim, Hana Lee, Hyong-Euk Lee et al.
Unified Breakdown Analysis for Byzantine Robust Gossip
Renaud Gaucher, Aymeric Dieuleveut, Hadrien Hendrikx
Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion
Kaizhe Hu, Zihang Rui, Yao He et al.
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval
Leqi Shen, Guoqiang Gong, Tianxiang Hao et al.
LatentHOI: On the Generalizable Hand Object Motion Generation with Latent Hand Diffusion.
Muchen Li, Sammy Christen, Chengde Wan et al.
Tensor Product Neural Networks for Functional ANOVA Model
Seokhun Park, Insung Kong, yongchan Choi et al.
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection
Wei Li, Pin-Yu Chen, Sijia Liu et al.
MARBLE: Material Recomposition and Blending in CLIP-Space
Ta-Ying Cheng, Prafull Sharma, Mark Boss et al.
A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations
Naveen Gupta, Medha Sawhney, Arka Daw et al.
Training-Free Dataset Pruning for Instance Segmentation
Yalun Dai, Lingao Xiao, Ivor Tsang et al.
eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels
Alexander DeRieux, Walid Saad
SAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive Tokens
Chi Su, Xiaoxuan Ma, Jiajun Su et al.
SimVS: Simulating World Inconsistencies for Robust View Synthesis
Alex Trevithick, Roni Paiss, Philipp Henzler et al.
Nested Expectations with Kernel Quadrature
Zonghao Chen, Masha Naslidnyk, Francois-Xavier Briol
LongAnimation: Long Animation Generation with Dynamic Global-Local Memory
Nan Chen, Mengqi Huang, Yihao Meng et al.
Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference
Ke Yi, Zengke Liu, jianwei zhang et al.
H-MoRe: Learning Human-centric Motion Representation for Action Analysis
Zhanbo Huang, Xiaoming Liu, Yu Kong
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Sicong Li, Qianqian Xu, Zhiyong Yang et al.
Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
Sascha Marton, Tim Grams, Florian Vogt et al.
Distilled Prompt Learning for Incomplete Multimodal Survival Prediction
Yingxue Xu, Fengtao ZHOU, Chenyu Zhao et al.
Connecting Federated ADMM to Bayes
Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-Velez
Sable: a Performant, Efficient and Scalable Sequence Model for MARL
Omayma Mahjoub, Sasha Abramowitz, Ruan de Kock et al.
Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation
Yiming Qin, Zhu Xu, Yang Liu
Controlled Generation with Equivariant Variational Flow Matching
Floor Eijkelboom, Heiko Zimmermann, Sharvaree Vadgama et al.
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
Mingyang Sun, Pengxiang Ding, Weinan Zhang et al.
The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation
Fredrik Carlsson, Fangyu Liu, Daniel Ward et al.
CoInD: Enabling Logical Compositions in Diffusion Models
Sachit Gaudi, Gautam Sreekumar, Vishnu Boddeti
MAST: model-agnostic sparsified training
Yury Demidovich, Grigory Malinovsky, Egor Shulgin et al.
Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models
Zhen Zeng, Leijiang Gu, Xun Yang et al.
SplineGS: Learning Smooth Trajectories in Gaussian Splatting for Dynamic Scene Reconstruction
Jihwan Yoon, Sangbeom Han, Jaeseok Oh et al.
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation
Sungnyun Kim, Sungwoo Cho, Sangmin Bae et al.
Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning
Md Rifat Arefin, Gopeshh Raaj Subbaraj, Nicolas Gontier et al.
Quality over Quantity in Attention Layers: When Adding More Heads Hurts
Noah Amsel, Gilad Yehudai, Joan Bruna
Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
Laixi Shi, Jingchu Gai, Eric Mazumdar et al.
Improving Multimodal Learning Balance and Sufficiency through Data Remixing
Xiaoyu Ma, Hao Chen, Yongjian Deng
Noisy Test-Time Adaptation in Vision-Language Models
Chentao Cao, Zhun Zhong, (Andrew) Zhanke Zhou et al.
Instruct-CLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning
Sherry X. Chen, Misha Sra, Pradeep Sen
Learning Affine Correspondences by Integrating Geometric Constraints
Pengju Sun, Banglei Guan, Zhenbao Yu et al.
CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search
Xiao-Wen Yang, Zhi Zhou, Haiming Wang et al.
Robust-MVTON: Learning Cross-Pose Feature Alignment and Fusion for Robust Multi-View Virtual Try-On
Nannan Zhang, Yijiang Li, Dong Du et al.
Geometric Hyena Networks for Large-scale Equivariant Learning
Artem Moskalev, Mangal Prakash, Junjie Xu et al.
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective
Jiawei Huang, Bingcong Li, Christoph Dann et al.
Boosting Multiple Views for pretrained-based Continual Learning
Quyen Tran, Tung Lam Tran, Khanh Doan et al.
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
Zijian Li, Shunxing Fan, Yujia Zheng et al.
Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model
Yaxuan Huang, Xili Dai, Jianan Wang et al.
Human-Aligned Chess With a Bit of Search
Yiming Zhang, Athul Jacob, Vivian Lai et al.
Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization
Timofei Gritsaev, Nikita Morozov, Sergey Samsonov et al.
Control-oriented Clustering of Visual Latent Representation
Han Qi, Haocheng Yin, Heng Yang
SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs
Shibo Jie, Yehui Tang, Kai Han et al.
CALM: Consensus-Aware Localized Merging for Multi-Task Learning
Kunda Yan, Min Zhang, Sen Cui et al.
Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning
Jun Li, Jinpeng Wang, Chaolei Tan et al.
Exposure Bracketing Is All You Need For A High-Quality Image
Zhilu Zhang, Shuohao Zhang, Renlong Wu et al.
Attribute-based Visual Reprogramming for Vision-Language Models
Chengyi Cai, Zesheng Ye, Lei Feng et al.
Self-supervised contrastive learning performs non-linear system identification
Rodrigo Gonzalez Laiz, Tobias Schmidt, Steffen Schneider
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
Khai Nguyen, Hai Nguyen, Tuan Pham et al.
How Far Are We from True Unlearnability?
Kai Ye, Liangcai Su, Chenxiong Qian
Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount
Yanbiao Ma, Wei Dai, Jiayi Chen
Blink of an eye: a simple theory for feature localization in generative models
Marvin Li, Aayush Karan, Sitan Chen
Revisiting Convolution Architecture in the Realm of DNA Foundation Models
Yu Bo, Weian Mao, Daniel Shao et al.
GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling
Honghui Wang, Shiji Song, Gao Huang
Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation
David T. Hoffmann, Syed Haseeb Raza, Hanqiu Jiang et al.
Second-Order Min-Max Optimization with Lazy Hessians
Lesi Chen, Chengchang Liu, Jingzhao Zhang
Extending Mercer's expansion to indefinite and asymmetric kernels
Sungwoo Jeong, Alex Townsend
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery
Renpu Liu, Ruida Zhou, Cong Shen et al.
Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors
Lin-Zhuo Chen, Kangjie Liu, Youtian Lin et al.
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory
Jan Drgona, Mahantesh Halappanavar, Frank Liu et al.
Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)
SUBBA REDDY OOTA, Akshett Rai Jindal, Ishani Mondal et al.
Semantic Watermarking Reinvented: Enhancing Robustness and Generation Quality with Fourier Integrity
Sung Ju Lee, Nam Ik Cho
Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
Armin Behnamnia, Gholamali Aminian, Alireza Aghaei et al.
Unlocking the Potential of Model Calibration in Federated Learning
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour et al.
Training-Free Message Passing for Learning on Hypergraphs
Bohan Tang, Zexi Liu, Keyue Jiang et al.
Position: Lifetime tuning is incompatible with continual reinforcement learning
Golnaz Mesbahi, Parham Mohammad Panahi, Olya Mastikhina et al.
Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
Dongjae Jeon, Dueun Kim, Albert No
Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving
Jin Zhang, Flood Sung, Zhilin Yang et al.
SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG
Shanglin Li, Motoaki Kawanabe, Reinmar Kobler
Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer
Yilun Kong, Guozheng Ma, Qi Zhao et al.
Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
Chenyou Fan, Chenjia Bai, Zhao Shan et al.
DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis
Yinghao Li, Rithesh Kumar, Zeyu Jin
Epistemic Monte Carlo Tree Search
Yaniv Oren, Viliam Vadocz, Matthijs T. J. Spaan et al.
Learning to engineer protein flexibility
Petr Kouba, Joan Planas-Iglesias, Jiri Damborsky et al.
Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization
Hao Dong, Eleni Chatzi, Olga Fink
Learning Dynamics in Continual Pre-Training for Large Language Models
Xingjin Wang, Howe Tissue, Lu Wang et al.
Knowledge Distillation with Refined Logits
Wujie Sun, Defang Chen, Siwei Lyu et al.
Do Deep Neural Network Solutions Form a Star Domain?
Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad et al.
Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
Haoming Yang, Ke Ma, Xiaojun Jia et al.
HyperSeg: Hybrid Segmentation Assistant with Fine-grained Visual Perceiver
Cong Wei, Haoxian Tan, Yujie Zhong et al.
MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding
Zhicheng Zhang, Wuyou Xia, Chenxi Zhao et al.
ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning
Xiangru Tang, Tianyu Hu, Muyang Ye et al.
Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF
Nuoya Xiong, Aarti Singh
Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers
Omer Sahin Tas, Royden Wagner
Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss
Abhijeet Mulgund, Chirag Pabbaraju
SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
Nie Lin, Takehiko Ohkawa, Yifei Huang et al.
Metamizer: A Versatile Neural Optimizer for Fast and Accurate Physics Simulations
Nils Wandel, Stefan Schulz, Reinhard Klein
Fine-tuning can Help Detect Pretraining Data from Large Language Models
Hengxiang Zhang, Songxin Zhang, Bingyi Jing et al.
SPEX: Scaling Feature Interaction Explanations for LLMs
Justin S. Kang, Landon Butler, Abhineet Agarwal et al.
STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
Xiaoyu Zhang, Juan Zhai, Shiqing Ma et al.
Collapse-Proof Non-Contrastive Self-Supervised Learning
EMANUELE SANSONE, Tim Lebailly, Tinne Tuytelaars
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
Loris Gaven, Thomas Carta, Clément Romac et al.
TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation
Gwen Yidou-Weng, Benjie Wang, Guy Van den Broeck
Spectral Convolutional Conditional Neural Process
Peiman Mohseni, Nick Duffield
BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
Qinfan Xiao, Ziyun Cui, Chi Zhang et al.
Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
Yihao Xue, Jiping Li, Baharan Mirzasoleiman
HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation
Hanxiang Ren, Li Sun, Xulong Wang et al.
Towards Learnable Anchor for Deep Multi-View Clustering
Bocheng Wang, Chusheng Zeng, Mulin Chen et al.
Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes
Jongmin Lee, Ernest Ryu
Multi-Label Test-Time Adaptation with Bound Entropy Minimization
Xiangyu Wu, Feng Yu, Yang Yang et al.
Reward Learning from Multiple Feedback Types
Yannick Metz, Andras Geiszl, Raphaël Baur et al.
On Speeding Up Language Model Evaluation
Jin Zhou, Christian Belardi, Ruihan Wu et al.
Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation
Rong Tang, Lizhen Lin, Yun Yang
API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
Gavin (Zhen) Guo, Adriana Meza Soria, Wei Sun et al.
Shh, don't say that! Domain Certification in LLMs
Cornelius Emde, Alasdair Paren, Preetham Arvind et al.
Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents
Jessica Woodgate, Paul Marshall, Nirav Ajmeri
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
Arya Fayyazi, Mehdi Kamal, Massoud Pedram
Lasso Bandit with Compatibility Condition on Optimal Arm
Harin Lee, Taehyun Hwang, Min-hwan Oh
SBSC: Step-by-Step Coding for Improving Mathematical Olympiad Performance
Kunal Singh, Ankan Biswas, Sayandeep Bhowmick et al.
Flow-based Variational Mutual Information: Fast and Flexible Approximations
Caleb Dahlke, Jason Pacheco
Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors
Zhengfei Kuang, Tianyuan Zhang, Kai Zhang et al.
PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model
Xiang Gao, Shuai Yang, Jiaying Liu
Morpheus: Text-Driven 3D Gaussian Splat Shape and Color Stylization
Jamie Wynn, Zawar Qureshi, Jakub Powierza et al.
Forte : Finding Outliers with Representation Typicality Estimation
Debargha Ganguly, Warren Morningstar, Andrew Yu et al.
MikuDance: Animating Character Art with Mixed Motion Dynamics
Jiaxu Zhang, Xianfang Zeng, Xin Chen et al.
On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists
Dongyang Fan, Bettina Messmer, Nikita Doikov et al.
Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
Yikang Li, Yeqing Qiu, Yuxuan Chen et al.
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
Ali Behrouz, Ali Parviz, Mahdi Karami et al.
Unlocking Global Optimality in Bilevel Optimization: A Pilot Study
Quan Xiao, Tianyi Chen
ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning
Ruiyang Zhou, Shuozhe Li, Amy Zhang et al.
Point-Level Topological Representation Learning on Point Clouds
Vincent P. Grande, Michael Schaub
Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay
Ruiheng Liu, Jinyu Zhang, Yanqi Song et al.
Erasing Concept Combination from Text-to-Image Diffusion Model
hongyi nie, Quanming Yao, Yang Liu et al.
ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors
Tianxin Huang, Zhiwen Yan, Yuyang Zhao et al.