Most Cited NEURIPS "popularity-adjusted block model" Papers
5,858 papers found • Page 16 of 30
Conference
Precise Information Control in Long-Form Text Generation
Jacqueline He, Howard Yen, Margaret Li et al.
Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis
Dong Yang, YIYI CAI, Yuki Saito et al.
Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection
Dongkeun Kim, Minsu Cho, Suha Kwak
PhysDiff-VTON: Cross-Domain Physics Modeling and Trajectory Optimization for Virtual Try-On
Shibin Mei, Bingbing Ni
Coloring Learning for Heterophilic Graph Representation
Miaomiao Huang, Yuhai Zhao, Daniel Zhengkui Wang et al.
Knowledge Distillation Detection for Open-weights Models
Qin Shi, Amber Yijia Zheng, Qifan Song et al.
MemEIC: A Step Toward Continual and Compositional Knowledge Editing
Jin Seong, Jiyun Park, Wencke Liermann et al.
Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms
Alistair Benford, Per Kristian Lehre
Variational Task Vector Composition
Boyuan Zhang, Yingjun Du, Xiantong Zhen et al.
Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance
Qiang Zhang, Fanrui Zhang, Jiawei Liu et al.
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
Sangmin Bae, Yujin Kim, Reza Bayat et al.
DUET: Dual-Perspective Pseudo Labeling and Uncertainty-aware Exploration & Exploitation Training for Source-Free Domain Adaptation
JaeYun Lee, Jae Hyeon Park, Gyoomin Lee et al.
ProDAG: Projected Variational Inference for Directed Acyclic Graphs
Ryan Thompson, Edwin Bonilla, Robert Kohn
Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV Reuse
Ruikun Luo, Changwei Gu, Qiang He et al.
Doodle to Detect: A Goofy but Powerful Approach to Skeleton-based Hand Gesture Recognition
Sang Han, Seonho Lee, Hyeok Nam et al.
IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios
Yifan Li, Yuhang Chen, Anh Dao et al.
Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
Sunwoo Kim, Hyunjin Hwang, Kijung Shin
YEAST: Yet Another Sequential Test
Alexey Kurennoy, Majed Dodin, Tural Gurbanov et al.
LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
Zehao Wang, Lin Yang, Jie Wang et al.
Optimal Minimum Width for the Universal Approximation of Continuously Differentiable Functions by Deep Narrow MLPs
Geonho Hwang
Composing Linear Layers from Irreducibles
Travis Pence, Daisuke Yamada, Vikas Singh
FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network
Shuo Xu, Yu Chen, Shuxia Lin et al.
AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches
Wenjun Ji, Yuxiang Fu, Luyang Ying et al.
Fine-grained List-wise Alignment for Generative Medication Recommendation
Chenxiao Fan, Chongming Gao, Wentao Shi et al.
Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem
Yichen Li, Yijing Shan, YI LIU et al.
A compressive-expressive communication framework for compositional representations
Rafael Elberg, Felipe del Río, Mircea Petrache et al.
Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model
Guanlue Li, Xufeng Zhao, Fang Wu et al.
ARM: Adaptive Reasoning Model
Tinghui Zhu, Jian Xie, yikai zhang et al.
Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
Enneng Yang, Anke Tang, Li Shen et al.
Who Speaks for the Trigger? Dynamic Expert Routing in Backdoored Mixture-of-Experts Transformers
Xin Zhao, Xiaojun Chen, Bingshan Liu et al.
Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs
Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
Test-Time Adaptation by Causal Trimming
Yingnan Liu, Rui Qiao, Mong-Li Lee et al.
Size-adaptive Hypothesis Testing for Fairness
Antonio Ferrara, Francesco Cozzi, Alan Perotti et al.
A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning
Xiaoli Tang, Han Yu, Xiaoxiao Li
SALS: Sparse Attention in Latent Space for KV Cache Compression
Junlin Mu, Hantao Huang, Jihang Zhang et al.
Discovering Opinion Intervals from Conflicts in Signed Graphs
Peter Blohm, Florian Chen, Aristides Gionis et al.
Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models
Sofiane Ennadir, Levente Zólyomi, Oleg Smirnov et al.
Omni-Mol: Multitask Molecular Model for Any-to-any Modalities
Chengxin Hu, Hao Li, Yihe Yuan et al.
Improving planning and MBRL with temporally-extended actions
Palash Chatterjee, Roni Khardon
LittleBit: Ultra Low-Bit Quantization via Latent Factorization
Banseok Lee, Dongkyu Kim, Youngcheon You et al.
BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation
Yujia Chen, Rui Sun, Wangkai Li et al.
Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing
Manchao Bao, Shengjiang Fang, Tao Yue et al.
Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
Heekang Song, Wan Choi
Scaling can lead to compositional generalization
Florian Redhardt, Yassir Akram, Simon Schug
Rectifying Shortcut Behaviors in Preference-based Reward Learning
Wenqian Ye, Guangtao Zheng, Aidong Zhang
A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
Haydn Jones, Natalie Maus, Josh magnus Ludan et al.
AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts
Denizhan Kara, Tomoyoshi Kimura, Jinyang Li et al.
FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic
Kanghyun Choi, Hyeyoon Lee, Sunjong Park et al.
Private Evolution Converges
Tomás González Lara, Giulia Fanti, Aaditya Ramdas
FlashMoE: Fast Distributed MoE in a Single Kernel
Osayamen Aimuyo, Byungsoo Oh, Rachee Singh
Model Editing for Vision Transformers
Xinyi Huang, Kangfei Zhao, Long-Kai Huang
Incentivizing Time-Aware Fairness in Data Sharing
Jiangwei Chen, Kieu Thao Nguyen Pham, Rachael Sim et al.
Scalable Policy-Based RL Algorithms for POMDPs
Ameya Anjarlekar, S. Rasoul Etesami, R. Srikant
Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval
Shuang Zhang, Yue Wu, Lei Shi et al.
OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields
Lisa Weijler, Sebastian Koch, Fabio Poiesi et al.
Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO
Kaiyang Guo, Yinchuan Li, Zhitang Chen
Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors
Ke Liu, Shangde Gao, Yichao Fu et al.
InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
Liangjian Wen, Qun Dai, Jianzhuang Liu et al.
Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures
Shuqing Luo, Ye Han, Pingzhi Li et al.
Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
Xi Zhang, Xiaolin Wu, Jiamang Wang et al.
Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent
Christy Li, Josep Lopez Camuñas, Jake Touchet et al.
UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes
Yuang Meng, Xin Jin, Lina Lei et al.
Rising from Ashes: Generalized Federated Learning via Dynamic Parameter Reset
Jiahao Wu, Ming Hu, Yanxin Yang et al.
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
Yilang Zhang, Bingcong Li, Georgios Giannakis
ChatbotID: Identifying Chatbots with Granger Causality Test
Xiaoquan Yi, Haozhao Wang, Yining Qi et al.
Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
Ruiyang Lin, Yongyi Guo, Kyra Gan
X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability
Yu Yang, Alan Liang, Jianbiao Mei et al.
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
Zhongyi Yu, Jianqiu Wu, Zhenghao Wu et al.
Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention
Zhen Yang, Ziwei Du, Minghan Zhang et al.
PALQO: Physics-informed model for Accelerating Large-scale Quantum Optimization
Yiming Huang, Yajie Hao, Yuxuan Du et al.
Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits
Md Mobasshir Arshed Naved, Wenbo Xie, Wojciech Szpankowski et al.
Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach
Haitong Ma, Haoran Yu, Haobo Fu et al.
Theory-Driven Label-Specific Representation for Incomplete Multi-View Multi-Label Learning
Quanjiang Li, Tianxiang Xu, Tingjin Luo et al.
Accelerating Feature Conformal Prediction via Taylor Approximation
Zihao Tang, Boyuan Wang, Chuan Wen et al.
How Classifier Features Transfer to Downstream: An Asymptotic Analysis in a Two-Layer Model
HEE BIN YOO, Sungyoon Lee, Cheongjae Jang et al.
Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
Till Freihaut, Luca Viano, Volkan Cevher et al.
Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data
shu chen, HongJun Xu, Ruichi Zhang et al.
Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting
Chenchen Tan, Youyang Qu, Xinghao Li et al.
Building 3D Representations and Generating Motions From a Single Image via Video-Generation
Weiming Zhi, Ziyong Ma, Tianyi Zhang et al.
Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging
Ibrahim Ethem Hamamci, Sezgin Er, Suprosanna Shit et al.
Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks
Gavin McCracken, Gabriela Moisescu-Pareja, Vincent Létourneau et al.
Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection
Litao Li, Leo Song, Steven Ding et al.
Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion
Yan Xu, Yixing Wang, Stella X. Yu
AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference
CHE WANG, Ziqi Zhang, Yinggui Wang et al.
Length Generalization via Auxiliary Tasks
Pranjal Awasthi, Anupam Gupta, Ravi Kumar
Private Zeroth-Order Optimization with Public Data
Xuchen Gong, Tian Li
PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning
Yizhen Zhang, Yang Ding, Shuoshuo Zhang et al.
PyraMotion: Attentional Pyramid-Structured Motion Integration for Co-Speech 3D Gesture Synthesis
Zhizhuo Yin, Yuk Hang Tsui, Pan Hui
Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization
Yusu Hong, Junhong Lin
GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction
Jiahe Li, Jiawei Zhang, Youmin Zhang et al.
GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer
Sayan Deb Sarkar, Sinisa Stekovic, Vincent Lepetit et al.
Seg-VAR:Image Segmentation with Visual Autoregressive Modeling
Rongkun Zheng, Lu Qi, Xi Chen et al.
Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection
Chenyu Zhu, Yefeng Liu, Hao Zhang et al.
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
Niklas Freymuth, Tobias Würth, Nicolas Schreiber et al.
MaxSup: Overcoming Representation Collapse in Label Smoothing
Yuxuan Zhou, Heng Li, Zhi-Qi Cheng et al.
Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives
Geng Zhang, Jiangrong Shen, Kaizhong Zheng et al.
SEMPO: Lightweight Foundation Models for Time Series Forecasting
Hui He, Kun Yi, Yuanchi Ma et al.
Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels
Jonathan Grizou, Carlos De la Torre-Ortiz, Tuukka Ruotsalo
Network two-sample test for block models
Chung Kyong Nguen, Arash Amini, OSCAR HERNAN MADRID PADILLA
ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge
Cuong Dao, The Hung Tran, Phi Le Nguyen et al.
Object Concepts Emerge from Motion
Haoqian Liang, Xiaohui Wang, Zhichao Li et al.
Understanding Data Influence in Reinforcement Finetuning
Haoru Tan, Xiuzhe Wu, Sitong Wu et al.
Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks
Eva Xie, Stefan Mihalas, Łukasz Kuśmierz
Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
Wen-Tse Chen, Jiayu Chen, Fahim Tajwar et al.
KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products
Zixuan XIa, Aram Davtyan, Paolo Favaro
How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
Samet Demir, Zafer Dogan
WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting
Kaitao Huang, Yan Yan, Jing-Hao Xue et al.
PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinement
Haitian Zheng, Yuan Yao, yongsheng yu et al.
IndEgo: A Dataset of Industrial Scenarios and Collaborative Work for Egocentric Assistants
Vivek Chavan, Yasmina Imgrund, Tung Dao et al.
Neural Networks Generalize on Low Complexity Data
Sourav Chatterjee, Timothy Sudijono
SmokeViz: A Large-Scale Satellite Dataset for Wildfire Smoke Detection and Segmentation
Rey Koki, Michael McCabe, Dhruv Kedar et al.
Learning from Interval Targets
Rattana Pukdee, Ziqi Ke, Chirag Gupta
PhySense: Sensor Placement Optimization for Accurate Physics Sensing
Yuezhou Ma, Haixu Wu, Hang Zhou et al.
Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling
Hao Chen, Guanxi Lu, Yasuyuki Okoshi et al.
Dynamic Focused Masking for Autoregressive Embodied Occupancy Prediction
Yuan Sun, Julio Contreras, Jorge Ortiz
Aligning Text to Image in Diffusion Models is Easier Than You Think
Jaa-Yeon Lee, ByungHee Cha, Jeongsol Kim et al.
Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators
Lucas Berry, David Meger
Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators
Albert Matveev, Sanmitra Ghosh, Aamal Hussain et al.
ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation
Ziyuan Luo, Yangyi Zhao, Ka Chun Cheung et al.
Dimensionality Mismatch Between Brains and Artificial Neural Networks
Santiago Galella, Maren Wehrheim, Matthias Kaschube
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees
Daniel Ovalle, Lorenz Biegler, Ignacio Grossmann et al.
Generalizable Reasoning through Compositional Energy Minimization
Alexandru Oarga, Yilun Du
Meta-learning how to Share Credit among Macro-Actions
Ionel-Alexandru Hosu, Traian Rebedea, Razvan Pascanu
Counterfactual Implicit Feedback Modeling
Chuan Zhou, Lina Yao, Haoxuan Li et al.
A Controllable Examination for Long-Context Language Models
Yijun Yang, Zeyu Huang, Wenhao Zhu et al.
ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks
Huiri Tan, Juyong Jiang, Jiasi Shen
Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training
Tony Bonnaire, Raphaël Urfin, Giulio Biroli et al.
SmartCache: Context-aware Semantic Cache for Efficient Multi-turn LLM Inference
Chengye Yu, Tianyu Wang, Zili Shao et al.
UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning
Nan Song, Junzhe Jiang, jingyu li et al.
REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
Yassine El Ouahidi, Jonathan Lys, Philipp Thölke et al.
From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD
Konstantinos Tsiolis, Alireza Mousavi-Hosseini, Murat Erdogdu
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer
Yarden As, Chengrui (Ray) Qu, Benjamin Unger et al.
SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling
Yizhao Gao, Zhichen Zeng, DaYou Du et al.
Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries
Mohsen Heidari, Masih Mozakka, Wojciech Szpankowski
Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
ChuYu Zhou, Tianyu Li, Chenxi Lan et al.
Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation
Zhenghao Zeng, David Arbour, Avi Feller et al.
Fast attention mechanisms: a tale of parallelism
Jingwen Liu, Hantao Yu, Clayton Sanford et al.
3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding
Chang Wu, ZHIYUAN LIU, Wen Shu et al.
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
Jing Wang, Weiting Peng, Jing Tang et al.
Pairwise Calibrated Rewards for Pluralistic Alignment
Daniel Halpern, Evi Micha, Ariel Procaccia et al.
SAO-Instruct: Free-form Audio Editing using Natural Language Instructions
Michael Ungersböck, Florian Grötschla, Luca Lanzendörfer et al.
Implicit Generative Property Enhancer
Pedro O. Pinheiro, Pan Kessel, Aya Ismail et al.
UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning
Haoming Ye, Yunxiao Xiao, Cewu Lu et al.
SAMPO: Scale-wise Autoregression with Motion Prompt for Generative World Models
Sen Wang, Jingyi Tian, Le Wang et al.
The Omni-Expert: A Computationally Efficient Approach to Achieve a Mixture of Experts in a Single Expert Model
Sohini Saha, Mezisashe Ojuba, Leslie Collins et al.
MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction
Xuhui Chen, Fei Hou, Wencheng Wang et al.
MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
Qirui Mi, Mengyue Yang, Xiangning Yu et al.
MuSLR: Multimodal Symbolic Logical Reasoning
Jundong Xu, Hao Fei, Yuhui Zhang et al.
Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought
ZIhui Cheng, Qiguang Chen, Xiao Xu et al.
Targeted Maximum Likelihood Learning: An Optimization Perspective
Diyang Li, Kyra Gan
Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting
Haoyu Zhang, Yinan Zhang, Chaolong Ying et al.
Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models
Wei Chen, Xin Yan, Bin Wen et al.
Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions
Simon Matrenok, Skander Moalla, Caglar Gulcehre
StruDiCO: Structured Denoising Diffusion with Gradient-free Inference-stage Boosting for Memory and Time Efficient Combinatorial Optimization
Yu Wang, Yang Li, Junchi Yan et al.
Learning Dynamics of RNNs in Closed-Loop Environments
Yoav Ger, Omri Barak
Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis
Chengliang Liu, Que Yuanxi, Qihao Xu et al.
SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
Qitai Tan, Yiyun Chen, Mo Li et al.
Jacobian-Based Interpretation of Nonlinear Neural Encoding Model
Xiaohui Gao, Haoran Yang, cheng yue et al.
ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation
Jiatong Shi, Yifan Cheng, Bo-Hao Su et al.
HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class
James Roggeveen, Erik Wang, David Ettel et al.
MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation
Zhenwen Liang, Linfeng Song, Yang Li et al.
Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
Liviu Aolaritei, Julie Zhu, Oliver Wang et al.
The Curse of Depth in Large Language Models
Wenfang Sun, Xinyuan Song, Pengxiang Li et al.
Controllable Human-centric Keyframe Interpolation with Generative Prior
Zujin Guo, Size Wu, Zhongang Cai et al.
Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation
Yuxin Liu, Zhenghao (Mark) Peng, Xuanhao Cui et al.
CrypticBio: A Large Multimodal Dataset for Visually Confusing Species
Georgiana Manolache, Gerard Schouten, Joaquin Vanschoren
Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
Jayanta Mandi, Marianne Defresne, Senne Berden et al.
Protocols for Verifying Smooth Strategies in Bandits and Games
Miranda Christ, Daniel Reichman, Jonathan Shafer
A Unified Approach to Submodular Maximization Under Noise
Kshipra Bhawalkar, Yang Cai, Zhe Feng et al.
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
JIPENG LI, Yanning Shen
EventMG: Efficient Multilevel Mamba-Graph Learning for Spatiotemporal Event Representation
Sheng Wu, Lin Jin, Hui Feng et al.
CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision
Awni Altabaa, Omar Montasser, John Lafferty
Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls
Qinwei Yang, Jingyi Li, Peng Wu
Actor-Free Continuous Control via Structurally Maximizable Q-Functions
Yigit Korkmaz, Urvi Bhuwania, Ayush Jain et al.
Learning to Solve Complex Problems via Dataset Decomposition
Wanru Zhao, Lucas Page-Caccia, Zhengyan Shi et al.
Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning
Yunpeng Jiang, Jianshu Hu, Paul Weng et al.
Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior
Ruoyu Feng, Yunpeng Qi, Jinming Liu et al.
Radial Attention: $\mathcal O(n \log n)$ Sparse Attention for Long Video Generation
XINGYANG LI, Muyang Li, Tianle Cai et al.
Energy Loss Functions for Physical Systems
Oumar Kaba, Kusha Sareen, Daniel Levy et al.
Multimodal Negative Learning
Baoquan Gong, Xiyuan Gao, Pengfei Zhu et al.
Constructing an Optimal Behavior Basis for the Option Keyboard
Lucas N. Alegre, Ana Bazzan, Andre Barreto et al.
Accelerated Evolving Set Processes for Local PageRank Computation
Binbin Huang, Luo Luo, Yanghua Xiao et al.
SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation
Claudia Cuttano, Gabriele Trivigno, Giuseppe Averta et al.
Titans: Learning to Memorize at Test Time
Ali Behrouz, Peilin Zhong, Vahab Mirrokni
Compositional Neural Network Verification via Assume-Guarantee Reasoning
Hai Duong, David Shriver, ThanhVu Nguyen et al.
Generating and Checking DNN Verification Proofs
Hai Duong, ThanhVu Nguyen, Matthew Dwyer
Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
Zitong Shi, Guancheng Wan, Haixin Wang et al.
HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs
Saleh Ashkboos, Mahdi Nikdan, Rush Tabesh et al.
DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints
Sungmin Woo, Sangyoun Lee
SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes
Xuyuan Xiong, Pedro Chumpitaz-Flores, Kaixun Hua et al.
Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression
Kyo Kuroki, Yasuyuki Okoshi, Thiem Van Chu et al.
Single-Step Operator Learning for Conditioned Time-Series Diffusion Models
Hui Chen, Vikas Singh
Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders
James Oldfield, Shawn Im, Sharon Li et al.
ReCon-GS: Continuum-Preserved Guassian Streaming for Fast and Compact Reconstruction of Dynamic Scenes
Jiaye Fu, Qiankun Gao, Chengxiang Wen et al.
Orochi: Versatile Biomedical Image Processor
Gaole Dai, Chenghao Zhou, Yu Zhou et al.
Conditional Diffusion Anomaly Modeling on Graphs
Chunyu Wei, Haozhe Lin, Yueguo Chen et al.
On the VC dimension of deep group convolutional neural networks
Anna Sepliarskaia, Sophie Langer, Johannes Schmidt-Hieber
A$^3$E: Towards Compositional Model Editing
Hongming Piao, Hao Wang, Dapeng Wu et al.
Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
Kaixun Jiang, Zhaoyu Chen, HaiJing Guo et al.
HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling
Ningyi Liao, Zihao Yu, Siqiang Luo et al.