Most Cited NEURIPS "adapter-based tuning" Papers
5,858 papers found • Page 22 of 30
Conference
MR. Video: MapReduce as an Effective Principle for Long Video Understanding
Ziqi Pang, Yu-Xiong Wang
Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting
Jiahui Zhang, Zhengyang Zhou, Wenjie Du et al.
Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective
Weizhong Huang, Yuxin Zhang, Xiawu Zheng et al.
Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting
Kangjie Chen, Yingji Zhong, Zhihao Li et al.
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.
The Parameterized Complexity of Computing the VC-Dimension
Florent Foucaud, Harmender Gahlawat, Fionn Mc Inerney et al.
Scalable Signature Kernel Computations via Local Neumann Series Expansions
Matthew Tamayo-Rios, Alexander Schell, Rima Alaifari
MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification
Yingying Feng, Jie Li, Jie Hu et al.
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.
Flick: Empowering Federated Learning with Commonsense Knowledge
Ran Zhu, Mingkun Yang, Shiqiang Wang 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
Statistical Inference for Decentralized Federated Learning
Jia Gu, Songxi Chen
Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting
Zinan Zheng, Yang Liu, Jia Li
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.
Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks
Yixuan Xu, Antoine Bosselut, Imanol Schlag
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
Lingkai Kong, Haichuan Wang, Tonghan Wang et al.
TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks
Xiang Meng, Mehdi Makni, Rahul Mazumder
Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations
Adrian Hill, Neal McKee, Johannes Maeß et al.
Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
Liangliang Zhang, Zhuorui Jiang, Hongliang Chi et al.
Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study
Yotam Alexander, Yonatan Slutzky, Yuval Ran-Milo et al.
Faster Algorithms for Structured John Ellipsoid Computation
Yang Cao, Xiaoyu Li, Zhao Song et al.
Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism
Ziyang Zheng, Kezhi Li, Zhengyuan Shi 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.
Prior-Guided Diffusion Planning for Offline Reinforcement Learning
Donghyeon Ki, JunHyeok Oh, Seong-Woong Shim et al.
Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
Peter Richtarik, Simone Maria Giancola, Dymitr Lubczyk 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.
Bandit and Delayed Feedback in Online Structured Prediction
Yuki Shibukawa, Taira Tsuchiya, Shinsaku Sakaue et al.
On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
Liyao Tang, Zhe Chen, Dacheng Tao
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.
Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models
Jun Zhao, Yongzhuo Yang, Xiang Hu et al.
SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement
Xiyao Wang, Zhengyuan Yang, Chao Feng et al.
Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation
Yiyuan Pan, Yunzhe XU, Zhe Liu et al.
Deep Continuous-Time State-Space Models for Marked Event Sequences
Yuxin Chang, Alex Boyd, Cao (Danica) Xiao et al.
Fortifying Time Series: DTW-Certified Robust Anomaly Detection
Shijie Liu, Tansu Alpcan, Christopher Leckie et al.
AlignedGen: Aligning Style Across Generated Images
Jiexuan Zhang, Yiheng Du, Qian Wang et al.
SAP: Exact Sorting in Splatting via Screen-Aligned Primitives
Zhanke Wang, Zhiyan Wang, Kaiqiang Xiong et al.
QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation
Changxin Ke, Rui Zhang, Shuo Wang et al.
Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks
Julia Nakhleh, Robert Nowak
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
Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning
Dipam Goswami, Simone Magistri, Kai Wang 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.
Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
Jihoon Kwon, Kyle Min, Jy-yong Sohn
Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation
Sanjana Ramprasad, Byron Wallace
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.
LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach
Jinglong Shen, Nan Cheng, Wenchao Xu et al.
Orient Anything V2: Unifying Orientation and Rotation Understanding
Zehan Wang, Ziang Zhang, Jiayang Xu et al.
Delving into Large Language Models for Effective Time-Series Anomaly Detection
JUN WOO PARK, Kyudan Jung, Dohyun Lee 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.
RFMPose: Generative Category-level Object Pose Estimation via Riemannian Flow Matching
Wenzhe Ouyang, Qi Ye, Jinghua Wang 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.
Minimax Adaptive Online Nonparametric Regression over Besov spaces
Paul Liautaud, Pierre Gaillard, Olivier Wintenberger
The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples
Hsiang Hsu, Pradeep Niroula, Zichang He et al.
GMV: A Unified and Efficient Graph Multi-View Learning Framework
Qipeng zhu, Jie Chen, Jian Pu et al.
Versatile differentially private learning for general loss functions
Qilong Lu, Songxi Chen, Yumou Qiu
AneuG-Flow: A Large-Scale Synthetic Dataset of Diverse Intracranial Aneurysm Geometries and Hemodynamics
Wenhao Ding, Yiying Sheng, Simão de Castro et al.
Efficiently Verifiable Proofs of Data Attribution
Ari Karchmer, Seth Neel, Martin Pawelczyk
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.
Constrained Linear Thompson Sampling
Aditya Gangrade, Venkatesh Saligrama
Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG
Shihao Yang, Feng Liu
Explaining the Law of Supply and Demand via Online Learning
Stratis Skoulakis
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding
Xiner Li, Yulai Zhao, Chenyu Wang 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
Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks
Artur Back de Luca, George Giapitzakis, Kimon Fountoulakis
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.
Personalized Visual Content Generation in Conversational Systems
Xianquan Wang, Zhaocheng Du, Huibo Xu et al.
Estimation of Stochastic Optimal Transport Maps
Sloan Nietert, Ziv Goldfeld
UFT: Unifying Supervised and Reinforcement Fine-Tuning
Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
Fair Matroid Selection
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Danny Mittal
Eliciting Reasoning in Language Models with Cognitive Tools
Brown Wilfried Ebouky Doualla Dina, Andrea Bartezzaghi, Mattia Rigotti
Geometric Learning with Positively Decomposable Kernels
Nathael Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega et al.
Modeling Neural Activity with Conditionally Linear Dynamical Systems
Victor Geadah, Amin Nejatbakhsh, David Lipshutz et al.
Efficient Fairness-Performance Pareto Front Computation
Mark Kozdoba, Binyamin Perets, Shie Mannor
Dense Metric Depth Estimation via Event-based Differential Focus Volume Prompting
Boyu Li, Peiqi Duan, Zhaojun Huang et al.
RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models
Yeongtak Oh, Dohyun Chung, Juhyeon Shin et al.
Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration
Hongkang Zhang, Shao-Lun Huang, Ercan KURUOGLU et al.
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
Jonas Eschmann, Dario Albani, Giuseppe Loianno
Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free
Stephen Zhang, Michael Stumpf
Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios
Shengju Yu, Pei Zhang, Siwei Wang et al.
Preference-driven Knowledge Distillation for Few-shot Node Classification
Xing Wei, Chunchun Chen, Rui Fan et al.
Listening to the Brain: Multi-Band sEEG Auditory Reconstruction via Dynamic Spatio-Temporal Hypergraphs
Xueyi Zhang, Ruicong Wang, Jialu Sun et al.
On Evaluating Policies for Robust POMDPs
Merlijn Krale, Eline M. Bovy, Maris F. L. Galesloot et al.
Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics
Deep Patel, Emmanouil-Vasileios Vlatakis-Gkaragkounis
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
Hyungki Im, Wyame Benslimane, Paul Grigas
DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning
Sitong Wu, Haoru Tan, Jingyao Li et al.
Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
Yuxin Pan, Zhiguang Cao, Chengyang GU et al.
Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning
Tuan Dam
VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models
Xinan He, Yue Zhou, Bing Fan et al.
Simulating Society Requires Simulating Thought
Chance Jiajie Li, Jiayi Wu, Zhenze MO 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.
On the Stability and Generalization of Meta-Learning: the Impact of Inner-Levels
Wenjun Ding, Jingling Liu, Lixing Chen 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.
Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads
Zhoutong Wu, Yuan Zhang, Yiming Dong et al.
Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer
Zechuan Zhang, Ji Xie, Yu Lu et al.
ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions
Yue Huang, Zhengzhe Jiang, Xiaonan Luo et al.
Consistency Conditions for Differentiable Surrogate Losses
Drona Khurana, Anish Thilagar, Dhamma Kimpara et al.
Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning
Haochen Zhang, Zhong Zheng, Lingzhou Xue
Memory by accident: a theory of learning as a byproduct of network stabilization
Basile Confavreux, William Dorrell, Nishil Patel et al.
Correlation Dimension of Autoregressive Large Language Models
Xin Du, Kumiko Tanaka-Ishii
FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning
Fan Wu, Xinyu Yan, Jiabei Liu et al.
ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination
Xiaoyi Pang, Xuanyi Hao, Song Guo et al.
Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
Fan LIU, Jindong Han, Tengfei Lyu et al.
Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression
Jingfeng Wu, Pierre Marion, Peter Bartlett
Masked Gated Linear Unit
Yukito Tajima, Nakamasa Inoue, Yusuke Sekikawa et al.
Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems
Gordon Dai, Yunze Xiao
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
Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data
Hancheng Min, Zhihui Zhu, Rene Vidal
IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
HantingYan Yan, Pan Mu, Shiqi Zhang 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.
Pessimistic Data Integration for Policy Evaluation
Xiangkun Wu, Ting Li, Gholamali Aminian et al.
Sampling by averaging: A multiscale approach to score estimation
Paula Cordero-Encinar, Andrew Duncan, Sebastian Reich 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.
RvLLM: LLM Runtime Verification with Domain Knowledge
Yedi Zhang, Sun Emma, Annabelle En et al.
Distributionally Robust Performative Optimization
Zhuangzhuang Jia, Yijie Wang, Roy Dong et al.
Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals
Linda Zeng, Rithwik Gupta, Divij Motwani et al.
MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference
Haibo Tong, Zhaoyang Wang, Zhaorun Chen et al.
NeurIPS should lead scientific consensus on AI policy
Rishi Bommasani
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.
World Models Should Prioritize the Unification of Physical and Social Dynamics
Xiaoyuan Zhang, Chengdong Ma, Yizhe Huang et al.
Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables
Futoshi Futami, Masahiro Fujisawa
Contextual Dynamic Pricing with Heterogeneous Buyers
Thodoris Lykouris, Sloan Nietert, Princewill Okoroafor et al.
Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation
Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno et al.
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
Zhaowei Wang, Wenhao Yu, Xiyu REN et al.
Exploration via Feature Perturbation in Contextual Bandits
Seouh-won Yi, Min-hwan Oh
Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector
Haoyan Yang, Runxue Bao, Cao (Danica) Xiao 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.
PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models
Ruiqi Wang, Dezhong Zhao, Ziqin Yuan et al.
Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making
Larkin Liu, Jalal Etesami
Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
Guangchen (Eric) Lan, Huseyin A. Inan, Sahar Abdelnabi et al.
RAPTR: Radar-based 3D Pose Estimation using Transformer
Sorachi Kato, Ryoma Yataka, Pu Wang 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.
Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
Tianyi Chen, Pengxiao Lin, Zhiwei Wang et al.
The Burden of Interactive Alignment with Inconsistent Preferences
Ali Shirali
Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics
Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi
NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge
Hanyu Zhu, Lance Fiondella, Jiawei Yuan et al.
Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential
Tianxiao He, Malhar Patel, Chenyi Li et al.
GUI-Rise: Structured Reasoning and History Summarization for GUI Navigation
Tao Liu, Chongyu Wang, Rongjie Li et al.
Sample-Conditional Coverage in Split-Conformal Prediction
John Duchi
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.
Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning
Marwa Abdulhai, Ryan Cheng, Donovan Clay et al.
Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models
Omer Moussa, Mariya Toneva
Accelerating Visual-Policy Learning through Parallel Differentiable Simulation
Haoxiang You, Yilang Liu, Ian Abraham
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.
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
Nina Vesseron, Louis Bethune, Marco Cuturi
Dropout Regularization Versus l2-Penalization in the Linear Model
Gabriel Clara, Sophie Langer, Johannes Schmidt-Hieber
Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement
Yunan Lu, Xixi Zhang, Yaojin Lin et al.
Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning
Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu et al.
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
Amir Rezaei Balef, Claire Vernade, Katharina Eggensperger
Theoretical Insights into In-context Learning with Unlabeled Data
Yingcong Li, Xiangyu Chang, Muti Kara et al.
Strassen Attention, Split VC Dimension and Compositionality in Transformers
Alexander Kozachinskiy, Felipe Urrutia, Hector Orellana et al.
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.
Seeing the Wind from a Falling Leaf
Zhiyuan Gao, Jiageng Mao, Hong-Xing "Koven" Yu 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.
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
Zhihai Wang, Zijie Geng, Zhaojie Tu 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
Dynamic Regret Reduces to Kernelized Static Regret
Andrew Jacobsen, Alessandro Rudi, Francesco Orabona et al.