Most Cited NEURIPS "implicitly-defined gnns" Papers
5,858 papers found • Page 14 of 30
Conference
Register and [CLS] tokens induce a decoupling of local and global features in large ViTs
Alexander Lappe, Martin Giese
A Hierarchy of Graphical Models for Counterfactual Inferences
Hongshuo Yang, Elias Bareinboim
STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking
Xuewei Bai, Yongcai Wang, Deying Li et al.
A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input
Bar Mahpud, Or Sheffet
How to Scale Second-Order Optimization
Charlie Chen, Shikai Qiu, Hoang Phan et al.
The Quotient Bayesian Learning Rule
Mykola Lukashchuk, Raphaël Trésor, Wouter Nuijten et al.
Diffusion Feature Field for Text-based 3D Editing with Gaussian Splatting
Eunseo Koh, Sangeek Hyun, MinKyu Lee et al.
OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
Bo-Wen Yin, Jiao-Long Cao, Xuying Zhang et al.
Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
Yulu Qin, Dheeraj Varghese, Adam Dahlgren Lindström et al.
Flat Channels to Infinity in Neural Loss Landscapes
Flavio Martinelli, Alexander van Meegen, Berfin Simsek et al.
Heterogeneous Adversarial Play in Interactive Environments
Manjie Xu, Xinyi Yang, Jiayu Zhan et al.
RESPIN-S1.0: A read speech corpus of 10000+ hours in dialects of nine Indian Languages
Saurabh Kumar, Abhayjeet Singh, DEEKSHITHA G et al.
AHa-Bench: Benchmarking Audio Hallucinations in Large Audio-Language Models
Xize Cheng, Dongjie Fu, Chenyuhao Wen et al.
From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models
Charles W J Pugh, Paulina Nuñez-Valencia, Mafalda Dias et al.
Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time
Max Moebus, Björn Braun, Christian Holz
Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh et al.
Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment
Chen Liu, Wenfang Yao, Kejing Yin et al.
The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets
Yujun Kim, Chaewon Moon, Chulhee Yun
SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
Tangwen Qian, Junhe Li, Yile Chen et al.
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
Yihan Wang, Yiwei Lu, Xiao-Shan Gao et al.
MMCSBench: A Fine-Grained Benchmark for Large Vision-Language Models in Camouflage Scenes
Jin Zhang, Ruiheng Zhang, Zhe Cao et al.
Normalizing Flows are Capable Models for Continuous Control
Raj Ghugare, Benjamin Eysenbach
Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
Shenzhi Yang, Junbo Zhao, Sharon Li et al.
Unified all-atom molecule generation with neural fields
Matthieu Kirchmeyer, Pedro O. Pinheiro, Emma Willett et al.
CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation
Ziao Wang, Sixing Yan, Kejing Yin et al.
StegoZip: Enhancing Linguistic Steganography Payload in Practice with Large Language Models
Jun Jiang, Zijin Yang, Weiming Zhang et al.
How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime?
Wei Huang, Andi Han, Yujin Song et al.
CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization
Irene Wang, Mostafa Elhoushi, H Ekin Sumbul et al.
Preference Distillation via Value based Reinforcement Learning
Minchan Kwon, Junwon Ko, Kangil kim et al.
BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization
Qiwei Wang, Shaoxun Wu, Yujiao Shi
Estimation of Treatment Effects in Extreme and Unobserved Data
Jiyuan Tan, Vasilis Syrgkanis, Jose Blanchet
Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
Mete Erdogan, Cengiz Pehlevan, Alper Erdogan
A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
Wei Shen, Jiawei Zhang, Minhui Huang et al.
Bridging the gap to real-world language-grounded visual concept learning
whie jung, Semin Kim, Junee Kim et al.
SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference
Jiahui Wang, Haiyue Zhu, Haoren Guo et al.
UniTok: a Unified Tokenizer for Visual Generation and Understanding
Chuofan Ma, Yi Jiang, Junfeng Wu et al.
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
Kyurae Kim, Yian Ma, Trevor Campbell et al.
Predicting the Performance of Black-box Language Models with Follow-up Queries
Dylan Sam, Marc Finzi, Zico Kolter
Distributionally Robust Feature Selection
Maitreyi Swaroop, Tamar Krishnamurti, Bryan Wilder
Temporal In‑Context Fine‑Tuning for Versatile Control of Video Diffusion Models
Kinam Kim, Junha Hyung, Jaegul Choo
Confidence-Aware With Prototype Alignment for Partial Multi-label Learning
Weijun Lv, Yu Chen, Xiaozhao Fang et al.
Fractional Diffusion Bridge Models
Gabriel Nobis, Maximilian Springenberg, Arina Belova et al.
Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale
James Michaelov, Roger Levy, Benjamin Bergen
Instant4D: 4D Gaussian Splatting in Minutes
Zhanpeng Luo, Haoxi Ran, Li Lu
HairFree: Compositional 2D Head Prior for Text-Driven 360° Bald Texture Synthesis
Mirela Ostrek, Michael Black, Justus Thies
4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time
Ziqiao Ma, Xuweiyi Chen, Shoubin Yu et al.
Probabilistic Reasoning with LLMs for Privacy Risk Estimation
Jonathan Zheng, Alan Ritter, Sauvik Das et al.
Online Prediction with Limited Selectivity
Licheng Liu, Mingda Qiao
CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding
Xianhan Tan, Binli Luo, Yu Qi et al.
Adaptive Data Analysis for Growing Data
Neil Marchant, Benjamin Rubinstein
Stitch and Tell: A Structured Data Augmentation Method for Spatial Understanding
Yin Hang, Xiaomin He, Peiwen Yuan et al.
Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs
Jiaqi Ding, Tingting Dan, Zhixuan Zhou et al.
Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration
Wenjun Wu, Lingling Zhang, Bo Zhao et al.
Optimal Online Change Detection via Random Fourier Features
Florian Kalinke, Shakeel Gavioli-Akilagun
Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shift with Unlabeled Data
Alvaro Correia, Christos Louizos
Low Precision Streaming PCA
Sanjoy Dasgupta, Syamantak Kumar, Shourya Pandey et al.
FoGE: Fock Space inspired encoding for graph prompting
Takis Chytas, Rudrasis Chakraborty, Vikas Singh
AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians
Xiyu Zhang, Chong Bao, YiPeng Chen et al.
ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
Bohdan Turbal, Iryna Voitsitska, Lesia Semenova
Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models
Byeonghu Na, Mina Kang, Jiseok Kwak et al.
A-Mem: Agentic Memory for LLM Agents
Wujiang Xu, Zujie Liang, Kai Mei et al.
CLEAR: Command Level Annotated Dataset for Ransomware Detection
Barak Bringoltz, Elisha Halperin, Ran Feraru et al.
NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
Haolong Qian, Xianliang Yang, Ling Zhang et al.
OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
Juntong Wang, Xiyuan Wang, Muhan Zhang
MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE
Zongle Huang, Lei Zhu, ZongYuan Zhan et al.
Non-Stationary Structural Causal Bandits
Yeahoon Kwon, Yesong Choe, Soungmin Park et al.
Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts
Siyang Jiang, Rui Fang, Hsi-Wen Chen et al.
Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup
Sibo Tian, Xin Wang, Zeyang Zhang et al.
Optimal Mistake Bounds for Transductive Online Learning
Zachary Chase, Steve Hanneke, Shay Moran et al.
PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization
Honglin Li, Zhongyi Shui, Yunlong Zhang et al.
Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks
Artun Saday, Yaşar Cahit Yıldırım, Cem Tekin
ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation
Zidong Cao, Jinjing Zhu, Hao Ai et al.
Complexity Scaling Laws for Neural Models using Combinatorial Optimization
Lowell Weissman, Michael Krumdick, A. Abbott
ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models
Zixun Fang, Kai Zhu, Zhiheng Liu et al.
The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
Hoang Pham, The Anh Ta, Tom Jacobs et al.
LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
Subhojyoti Khastagir, KISHALAY DAS, Pawan Goyal et al.
Efficient Data Selection at Scale via Influence Distillation
Mahdi Nikdan, Vincent Cohen-Addad, Dan Alistarh et al.
Visual Sync: Multi‑Camera Synchronization via Cross‑View Object Motion
Shaowei Liu, David Yao, Saurabh Gupta et al.
Frequency-Aware Token Reduction for Efficient Vision Transformer
DongJae Lee, Jiwan Hur, Jaehyun Choi et al.
Machine Unlearning under Overparameterization
Jacob Block, Aryan Mokhtari, Sanjay Shakkottai
Transductive Conformal Inference for Full Ranking
Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard
FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance
Ying Li, Chengfei Lyu, Huan Wang
Robust LLM Alignment via Distributionally Robust Direct Preference Optimization
Zaiyan Xu, Sushil Vemuri, Kishan Panaganti et al.
Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning
Ximing Li, Yuanchao Dai, Bing Wang et al.
VITRIX-UniViTAR: Unified Vision Transformer with Native Resolution
Limeng Qiao, Yiyang Gan, Bairui Wang et al.
Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix
Zhuonan Zheng, Yuanchen Bei, Zhiyao Zhou et al.
MVSMamba: Multi-View Stereo with State Space Model
Jianfei Jiang, Qiankun Liu, Hongyuan Liu et al.
Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search
Yimin Jiang, Huibing Wang, Jinjia peng
Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos et al.
IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning
Xiong Zhang, Zhenli He, Changlong Fu et al.
Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
Wenyuan Zhao, Adithya Balachandran, Chao Tian et al.
LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search
Pengyi Li, Hongyao Tang, Jinbin Qiao et al.
Median Selection with Noisy and Structural Information
Chenglin Fan, Mingyu Kang
Measuring AI Ability to Complete Long Software Tasks
Thomas Kwa, Ben West, Joel Becker et al.
On the Entropy Calibration of Language Models
Steven Cao, Gregory Valiant, Percy Liang
Gaussian Processes for Shuffled Regression
Masahiro Kohjima
SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions
Cristian Sbrolli, Matteo Matteucci
EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation
Chao Song, ZHIYUAN LIU, Han Huang et al.
HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance
JUE GONG, Tingyu Yang, Jingkai Wang et al.
PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture
Yi Liu, Yang Liu, Leqian Zheng et al.
Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination
Rakshit Trivedi, Kartik Sharma, David Parkes
Revisiting Orbital Minimization Method for Neural Operator Decomposition
Jongha (Jon) Ryu, Samuel Zhou, Gregory Wornell
A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection
Gaku Morio, Harri Rowlands, Dominik Stammbach et al.
Sum Estimation under Personalized Local Differential Privacy
Dajun Sun, Wei Dong, Yuan Qiu et al.
Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning
Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang et al.
Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows
Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu et al.
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
Emre Sahinoglu, Youbang Sun, Shahin Shahrampour
Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics
Zhiyang Xun, Shivam Gupta, Eric Price
Formal Models of Active Learning from Contrastive Examples
Farnam Mansouri, Hans Simon, Adish Singla et al.
GSPN-2: Efficient Parallel Sequence Modeling
Hongjun Wang, yitong jiang, Collin McCarthy et al.
A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1
Zhaoyi Li, Xiaohan Zhao, Dong-Dong Wu et al.
Object-Centric Concept-Bottlenecks
David Steinmann, Wolfgang Stammer, Antonia Wüst et al.
From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures
Jens U. Brandt, Noah Christoph Pütz, Marcus Greiff et al.
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
Xin Yu, Yujia Wang, Jinghui Chen et al.
Test Time Scaling for Neural Processes
Hyungi Lee, Moonseok Choi, Hyunsu Kim et al.
Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning
Zijun Chen, Shengbo Wang, Nian Si
FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning
Gang Yan, Sikai Yang, Wan Du
GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
Wanjia Zhao, Jiaqi Han, Siyi Gu et al.
Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
Yifan Pu, Jixuan Ying, Qixiu Li et al.
Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies
Vincent Leon, Iosif Sakos, Ryann Sim et al.
Robust Contextual Pricing
Anupam Gupta, Guru Guruganesh, Renato Leme et al.
Robust Minimax Boosting with Performance Guarantees
Santiago Mazuelas, Veronica Alvarez
IntrinsiX: High-Quality PBR Generation using Image Priors
Peter Kocsis, Lukas Höllein, Matthias Niessner
Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving
Hossein Askari, Yadan Luo, Hongfu Sun et al.
Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers
Yongqi Ding, Lin Zuo, Mengmeng Jing et al.
TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
Sahar Dastani, Ali Bahri, Gustavo Vargas Hakim et al.
When Kernels Multiply, Clusters Unify: Fusing Embeddings with the Kronecker Product
Youqi WU, Jingwei Zhang, Farzan Farnia
HEIR: Learning Graph-Based Motion Hierarchies
Cheng Zheng, William Koch, Baiang Li et al.
Bounds on the computational complexity of neurons due to dendritic morphology
Anamika Agrawal, Michael Buice
ZeroS: Zero‑Sum Linear Attention for Efficient Transformers
Jiecheng Lu, Xu Han, Yan Sun et al.
Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval
Jian Xiao, Zijie Song, Jialong Hu et al.
Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go
Yichuan Ma, Linyang Li, Yongkang Chen et al.
VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory
Young-Jae Park, Minseok Seo, Hae-Gon Jeon
GMM-based VAE model with Normalising Flow for effective stochastic segmentation
Conghui Li, Chern Hong Lim, Xin Wang
Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing Modalities
Xi ruida
DynaAct: Large Language Model Reasoning with Dynamic Action Spaces
Xueliang Zhao, Wei Wu, Jian Guan et al.
Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization
Huimin Han, Shaolin Ji
MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification
Yingying Feng, Jie Li, Jie Hu et al.
Monotone and Separable Set Functions: Characterizations and Neural Models
Soutrik Sarangi, Yonatan Sverdlov, Nadav Dym et al.
Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference
Stephen Zhao, Aidan Li, Rob Brekelmans et al.
Flick: Empowering Federated Learning with Commonsense Knowledge
Ran Zhu, Mingkun Yang, Shiqiang Wang et al.
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
Lingkai Kong, Haichuan Wang, Tonghan Wang et al.
Open-Vocabulary Part Segmentation via Progressive and Boundary-Aware Strategy
Xinlong Li, Di Lin, Shaoyiyi Gao et al.
Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations
Adrian Hill, Neal McKee, Johannes Maeß et al.
SING: SDE Inference via Natural Gradients
Amber Hu, Henry Smith, Scott Linderman
Activation-Guided Consensus Merging for Large Language Models
Yuxuan Yao, Shuqi LIU, Zehua Liu et al.
Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism
Ziyang Zheng, Kezhi Li, Zhengyuan Shi et al.
Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models
Jun Zhao, Yongzhuo Yang, Xiang Hu et al.
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
Xusheng Cao, Haori Lu, Linlan Huang et al.
Deep Continuous-Time State-Space Models for Marked Event Sequences
Yuxin Chang, Alex Boyd, Cao (Danica) Xiao et al.
Learning-Augmented Online Bipartite Fractional Matching
XianJun, Davin Choo, Billy Jin, Yongho Shin
A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
Sebastian Wagner-Carena, Aizhan Akhmetzhanova, Sydney Erickson
STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking
Sicheng Shen, Dongcheng Zhao, Linghao Feng et al.
RFMPose: Generative Category-level Object Pose Estimation via Riemannian Flow Matching
Wenzhe Ouyang, Qi Ye, Jinghua Wang et al.
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.
Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration
Hongkang Zhang, Shao-Lun Huang, Ercan KURUOGLU et al.
Preference-driven Knowledge Distillation for Few-shot Node Classification
Xing Wei, Chunchun Chen, Rui Fan et al.
DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning
Sitong Wu, Haoru Tan, Jingyao Li et al.
Memory by accident: a theory of learning as a byproduct of network stabilization
Basile Confavreux, William Dorrell, Nishil Patel et al.
FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning
Fan Wu, Xinyu Yan, Jiabei Liu et al.
IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
HantingYan Yan, Pan Mu, Shiqi Zhang et al.
Sampling by averaging: A multiscale approach to score estimation
Paula Cordero-Encinar, Andrew Duncan, Sebastian Reich et al.
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
Zhaowei Wang, Wenhao Yu, Xiyu REN et al.
RAPTR: Radar-based 3D Pose Estimation using Transformer
Sorachi Kato, Ryoma Yataka, Pu Wang et al.
NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge
Hanyu Zhu, Lance Fiondella, Jiawei Yuan et al.
Accelerating Visual-Policy Learning through Parallel Differentiable Simulation
Haoxiang You, Yilang Liu, Ian Abraham
Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs
Qi Kuang, Jiayi Wang, Fan Zhou et al.
Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning
Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu et al.
Theoretical Insights into In-context Learning with Unlabeled Data
Yingcong Li, Xiangyu Chang, Muti Kara et al.
PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling
Guilin Li, Yun Zhang, Xiuyuan Chen et al.
Seeing the Wind from a Falling Leaf
Zhiyuan Gao, Jiageng Mao, Hong-Xing "Koven" Yu et al.
Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models
Hyeonggeun Han, Sehwan Kim, Hyungjun Joo et al.
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
Tyler Farghly, Peter Potaptchik, Samuel Howard et al.
Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks
Matthew Dutson, Nathan Labiosa, Yin Li et al.
GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning Chains
Chun Wang, Xiaojun Ye, Xiaoran Pan et al.
Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization
Frank Röder, Jan Benad, Manfred Eppe et al.
Dimension-free Score Matching and Time Bootstrapping for Diffusion Models
Syamantak Kumar, Dheeraj Nagaraj, Purnamrita Sarkar
HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View Synthesis
Zipeng Wang, Dan Xu
When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions
Moritz Willig, Tim Woydt, Devendra Singh Dhami et al.
Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration
Yunghee Lee, Byeonghyun Pak, Junwha Hong et al.
A Closed-Form Solution for Fast and Reliable Adaptive Testing
Yan Zhuang, Chenye Ke, Zirui Liu et al.
How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning
Max Weltevrede, Moritz Zanger, Matthijs Spaan et al.
FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation
Zeyu Zhang, Yiran Wang, Danning Li et al.
C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction
Kuan Wei Huang, Brandon Li, Bharath Hariharan et al.
VLMs can Aggregate Scattered Training Patches
Zhanhui Zhou, Lingjie Chen, Chao Yang et al.
When Data Can't Meet: Estimating Correlation Across Privacy Barriers
Abhinav Chakraborty, Arnab Auddy, T. Tony Cai
Prediction with expert advice under additive noise
Alankrita Bhatt, Victoria Kostina
How Memory in Optimization Algorithms Implicitly Modifies the Loss
Matias Cattaneo, Boris Shigida
Metropolis-Hastings Sampling for 3D Gaussian Reconstruction
Hyunjin Kim, Haebeom Jung, Jaesik Park
Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning
Haolei Xu, Yuchen Yan, Yongliang Shen et al.
A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
Yang Peng, Kaicheng Jin, Liangyu Zhang et al.
Direct Fisher Score Estimation for Likelihood Maximization
Sherman Khoo, Yakun Wang, Song Liu et al.
Understanding Generalization in Physics Informed Models through Affine Variety Dimensions
Takeshi Koshizuka, Issei Sato
Understanding outer learning rates in Local SGD
Ahmed Khaled, Satyen Kale, Arthur Douillard et al.
CoUn: Empowering Machine Unlearning via Contrastive Learning
Yasser Khalil, Mehdi Setayesh, Hongliang Li
On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization
wenlong deng, Yi Ren, Muchen Li et al.
Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences
Hadi Hosseini, Samarth Khanna, Ronak Singh
Chain of Execution Supervision Promotes General Reasoning in Large Language Models
Nuo Chen, Zehua Li, Keqin Bao et al.
FlexOLMo: Open Language Models for Flexible Data Use
Weijia Shi, Akshita Bhagia, Kevin Farhat et al.