Most Cited 2025 "temporal frame prediction" Papers

LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics

Thomas Robert, Mher Safaryan, Ionut-Vlad Modoranu et al.

Tracking objects that change in appearance with phase synchrony

Sabine Muzellec, Drew Linsley, Alekh Ashok et al.

Descent with Misaligned Gradients and Applications to Hidden Convexity

Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar et al.

Diffusion State-Guided Projected Gradient for Inverse Problems

Rayhan Zirvi, Bahareh Tolooshams, anima anandkumar

Learning from weak labelers as constraints

Vishwajeet Agrawal, Rattana Pukdee, Nina Balcan et al.

A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations

Sheng Xu, Bo Yue, Hongyuan Zha et al.

Estimating the Probabilities of Rare Outputs in Language Models

Gabriel Wu, Jacob Hilton

Self-Normalized Resets for Plasticity in Continual Learning

Vivek Farias, Adam Jozefiak

Training on the Test Task Confounds Evaluation and Emergence

Ricardo Dominguez-Olmedo, Florian Eddie Dorner, Moritz Hardt

COME: Test-time Adaption by Conservatively Minimizing Entropy

Qingyang Zhang, Yatao Bian, Xinke Kong et al.

Oracle efficient truncated statistics

Konstantinos Karatapanis, Vasilis Kontonis, Christos Tzamos

Training Free Guided Flow-Matching with Optimal Control

Luran Wang, Chaoran Cheng, Yizhen Liao et al.

SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation

Mingjie Li, Wai Man Si, Michael Backes et al.

BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP

Hao Yuan, wenli ouyang, Changwen Zhang et al.

Pre-training of Foundation Adapters for LLM Fine-tuning

Linh The Nguyen, Dat Quoc Nguyen

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation

Zhiyuan Liu, Yanchen Luo, Han Huang et al.

NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Wei-Bang Jiang, Yansen Wang, Bao-liang Lu et al.

Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback

Michelle Zhao, Henny Admoni, Reid Simmons et al.

A Computational Framework for Modeling Emergence of Color Vision in the Human Brain

Atsunobu Kotani, Yi-Ren Ng

From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency

Kaiyue Wen, Huaqing Zhang, Hongzhou Lin et al.

Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation

Yan Sun, Stanley Kok

Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models

Hualin Zhang, Haozhen Zhang, Zhekai Liu et al.

Generalizable Human Gaussians from Single-View Image

Jinnan Chen, Chen Li, Jianfeng Zhang et al.

Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD

Ze Peng, Jian Zhang, Yisen Wang et al.

Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs

Thomas Pethick, Ioannis Mavrothalassitis, Volkan Cevher

Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models

Simon Schrodi, David T. Hoffmann, Max Argus et al.

VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking

Runyi Hu, Jie Zhang, Yiming Li et al.

Flaws of ImageNet, Computer Vision's Favourite Dataset

Nikita Kisel, Illia Volkov, Kateřina Hanzelková et al.

Influence Functions for Scalable Data Attribution in Diffusion Models

Bruno Mlodozeniec, Runa Eschenhagen, Juhan Bae et al.

Lossy Compression with Pretrained Diffusion Models

jeremy vonderfecht, Feng Liu

Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning

Haozhe Ma, Zhengding Luo, Thanh Vinh Vo et al.

SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration

Jintao Zhang, Jia wei, Pengle Zhang et al.

GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training

Renqiu Xia, mingsheng li, Hancheng Ye et al.

Safety Layers in Aligned Large Language Models: The Key to LLM Security

Shen Li, Liuyi Yao, Lan Zhang et al.

PIN: Prolate Spheroidal Wave Function-based Implicit Neural Representations

Viraj Dhananjaya Bandara Jayasundara Jayasundara Mudiyanselage, Heng Zhao, Demetrio Labate et al.

Learning Harmonized Representations for Speculative Sampling

Lefan Zhang, Xiaodan Wang, Yanhua Huang et al.

Extendable and Iterative Structure Learning Strategy for Bayesian Networks

Hamid Kalantari, Russell Greiner, Pouria Ramazi

KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics

Jindou Chen, Jidong Tian, Liang Wu et al.

Transformers Provably Solve Parity Efficiently with Chain of Thought

Juno Kim, Taiji Suzuki

CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification

Mingkun Zhang, Keping Bi, Wei Chen et al.

Models trained with unnormalized density functions: A need for a course correction

Rishal Aggarwal, Daniel Penaherrera, Justin Shao et al.

REMEDY: Recipe Merging Dynamics in Large Vision-Language Models

Didi Zhu, Yibing Song, tao shen et al.

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Guanyu Zhou, Yibo Yan, Xin Zou et al.

Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning

Xiaorui Peng, Yuheng Jia, Fuchao Yang et al.

ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset

Kartik Thakral, Rishabh Ranjan, Akanksha Singh et al.

MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Chenxi Wang, Xiang Chen, Ningyu Zhang et al.

Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning

Anh Tong, Thanh Nguyen-Tang, Dongeun Lee et al.

Projection Head is Secretly an Information Bottleneck

Zhuo Ouyang, Kaiwen Hu, Qi Zhang et al.

Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models

Ali Khajegili Mirabadi, Katherine Rich, Hossein Farahani et al.

Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation

Jingbo Sun, Songjun Tu, Qichao Zhang et al.

RuAG: Learned-rule-augmented Generation for Large Language Models

Yudi Zhang, Pei Xiao, Lu Wang et al.

SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling

Nikhil Vyas, Depen Morwani, Rosie Zhao et al.

When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers

Hongkang Li, Yihua Zhang, shuai ZHANG et al.

Improving Deep Regression with Tightness

Shihao Zhang, Yuguang Yan, Angela Yao

GSE: Group-wise Sparse and Explainable Adversarial Attacks

Shpresim Sadiku, Moritz Wagner, Sebastian Pokutta

Understanding Methods for Scalable MCTS

Will Knipe

The impact of allocation strategies in subset learning on the expressive power of neural networks

Ofir Schlisselberg, Ran Darshan

Wavelet Diffusion Neural Operator

Peiyan Hu, Rui Wang, Xiang Zheng et al.

VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text

Tianyu Zhang, Suyuchen Wang, Lu Li et al.

MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation

Lu Li, Tianyu Zhang, Zhiqi Bu et al.

OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework

Junliang Chen, Huaiyuan Xu, Yi Wang et al.

Nonlinear Sequence Embedding by Monotone Variational Inequality

Jonathan Y. Zhou, Yao Xie

Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence

Yipei Wang, Xiaoqian Wang

Quantum (Inspired) $D^2$-sampling with Applications

Poojan Shah, Ragesh Jaiswal

Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct

Christopher Ackerman, Nina Panickssery

Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching

Renjie Pan, Jihao Dong, Hua Yang

Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization

Juntao Dai, Taiye Chen, Yaodong Yang et al.

IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation

Xinchen Zhang, Ling Yang, Guohao Li et al.

Resolution Attack: Exploiting Image Compression to Deceive Deep Neural Networks

Wangjia Yu, Xiaomeng Fu, Qiao Li et al.

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?

xueru wen, Jie Lou, Yaojie Lu et al.

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

Katie Matton, Robert Ness, John Guttag et al.

ProtPainter: Draw or Drag Protein via Topology-guided Diffusion

Zhengxi Lu, Shizhuo Cheng, Yuru Jiang et al.

Redefining the task of Bioactivity Prediction

Yanwen Huang, Bowen Gao, Yinjun JIA et al.

CtD: Composition through Decomposition in Emergent Communication

Boaz Carmeli, Ron Meir, Yonatan Belinkov

Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs

Bowen Gao, Haichuan Tan, Yanwen Huang et al.

Score-based Self-supervised MRI Denoising

Jiachen Tu, Yaokun Shi, Fan Lam

Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation

Lun Wang

Local Patterns Generalize Better for Novel Anomalies

Yalong Jiang

Model Risk-sensitive Offline Reinforcement Learning

Gwangpyo Yoo, Honguk Woo

Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks

Rui Hu, Yifan Zhang, Zhuoran Li et al.

Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics

Ahana Deb, Roberto Cipollone, Anders Jonsson et al.

TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval

Leqi Shen, Tianxiang Hao, Tao He et al.

FIRING-Net: A filtered feature recycling network for speech enhancement

Xinmeng Xu, Yiqun Zhang, Jizhen Li et al.

ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs

Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen et al.

Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction

Shengju Yu, Zhibin Dong, Siwei Wang et al.

UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization

Peiwen Yuan, Shaoxiong Feng, Yiwei Li et al.

Personality Alignment of Large Language Models

Minjun Zhu, Yixuan Weng, Linyi Yang et al.

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding

Sihang Li, Jin Huang, Jiaxi Zhuang et al.

UniRestore3D: A Scalable Framework For General Shape Restoration

Yuang Wang, Yujian Zhang, Sida Peng et al.

Offline Hierarchical Reinforcement Learning via Inverse Optimization

Carolin Schmidt, Daniele Gammelli, James Harrison et al.

Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis

Hongkang Li, Songtao Lu, Pin-Yu Chen et al.

Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation

Hossein Mirzaei Sadeghlou, Mojtaba Nafez, Jafar Habibi et al.

T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning

Nabarun Goswami, Hanqin Wang, Tatsuya Harada

One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment

Christina Sartzetaki, Gemma Roig, Cees G Snoek et al.

TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning

Tsiry MAYET, Pourya Shamsolmoali, Simon Bernard et al.

One for all and all for one: Efficient computation of partial Wasserstein distances on the line

Laetitia Chapel, Romain Tavenard

Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability

Avrajit Ghosh, Soo Min Kwon, Rongrong Wang et al.

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Peng Xia, Kangyu Zhu, Haoran Li et al.

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension

Jiahan Li, Tong Chen, Shitong Luo et al.

Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning

Haoxin Lin, Yu-Yan Xu, Yihao Sun et al.

Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning

Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen et al.

Scaling FP8 training to trillion-token LLMs

Maxim Fishman, Brian Chmiel, Ron Banner et al.

Enhancing Pre-trained Representation Classifiability can Boost its Interpretability

Reassessing How to Compare and Improve the Calibration of Machine Learning Models

Muthu Chidambaram, Rong Ge

On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime

Hengquan Guo, Xin Liu

For Better or For Worse? Learning Minimum Variance Features With Label Augmentation

Muthu Chidambaram, Rong Ge

Residual-MPPI: Online Policy Customization for Continuous Control

Pengcheng Wang, Chenran Li, Catherine Weaver et al.

ImagineNav: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination

Xinxin Zhao, Wenzhe Cai, Likun Tang et al.

Restructuring Vector Quantization with the Rotation Trick

Christopher Fifty, Ronald Junkins, Dennis Duan et al.

SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection

Jingjie Zhang, Hanqun Cao, Zijun Gao et al.

EmbedLLM: Learning Compact Representations of Large Language Models

Richard Zhuang, Tianhao Wu, Zhaojin Wen et al.

TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees

Weibin Liao, Xu Chu, Yasha Wang

Bridging the Gap Between f-divergences and Bayes Hilbert Spaces

Linus Lach, Alexander Fottner, Yarema Okhrin

DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks

Wei Liu, Li Yang, Mingxuan Zhao et al.

Round and Round We Go! What makes Rotary Positional Encodings useful?

Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos et al.

SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems

Patrick Emami, Zhaonan Li, Saumya Sinha et al.

Revisit the Open Nature of Open Vocabulary Semantic Segmentation

Qiming Huang, Han Hu, Jianbo Jiao

Multi-Scale Fusion for Object Representation

Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala et al.

Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data

Jiajie Li, Brian Quaranto, Chenhui Xu et al.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation

Danny Wang, Ruihong Qiu, Guangdong Bai et al.

SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations

Zhaorun Chen, Francesco Pinto, Minzhou Pan et al.

Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy

Tong Wu, Shujian Zhang, Kaiqiang Song et al.

Data Pruning by Information Maximization

Haoru Tan, Sitong Wu, Wei Huang et al.

An Evolved Universal Transformer Memory

Edoardo Cetin, Qi Sun, Tianyu Zhao et al.

Memory Mosaics

Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan et al.

Improving Long-Text Alignment for Text-to-Image Diffusion Models

Luping Liu, Chao Du, Tianyu Pang et al.

Enhancing End-to-End Autonomous Driving with Latent World Model

Yingyan Li, Lue Fan, Jiawei He et al.

On the Computation of the Fisher Information in Continual Learning

Gido van de Ven

CREAM: Consistency Regularized Self-Rewarding Language Models

Zhaoyang Wang, Weilei He, Zhiyuan Liang et al.

3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery

Xiuyuan Hu, Guoqing Liu, Can Chen et al.

A Geometric Framework for Understanding Memorization in Generative Models

Brendan Ross, Hamidreza Kamkari, Tongzi Wu et al.

TLDR: Token-Level Detective Reward Model for Large Vision Language Models

Deqing Fu, Tong Xiao, Rui Wang et al.

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection

Guangsheng Bao, Yanbin Zhao, Juncai He et al.

SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget

Zihao Wang, Bin CUI, Shaoduo Gan

Towards Domain Adaptive Neural Contextual Bandits

Ziyan Wang, Xiaoming Huo, Hao Wang

Investigating Pattern Neurons in Urban Time Series Forecasting

Chengxin Wang, Yiran Zhao, shaofeng cai et al.

Wayward Concepts In Multimodal Models

Brandon Trabucco, Max Gurinas, Kyle Doherty et al.

Can Watermarks be Used to Detect LLM IP Infringement For Free?

Zhengyue Zhao, Xiaogeng Liu, Somesh Jha et al.

Learning Diagrams: A Graphical Language for Compositional Training Regimes

Mason Lary, Richard Samuelson, Alexander Wilentz et al.

Neural Approximate Mirror Maps for Constrained Diffusion Models

Berthy Feng, Ricardo Baptista, Katherine Bouman

GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment

Aishwarya Jayagopal, Yanrong Zhang, Robert Walsh et al.

Provably Safeguarding a Classifier from OOD and Adversarial Samples

Nicolas Atienza, Johanne Cohen, Christophe Labreuche et al.

On the Fourier analysis in the SO(3) space : the EquiLoPO Network

Dmitrii Zhemchuzhnikov, Sergei Grudinin

Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards

Xiaoyu Yang, Jie Lu, En Yu

Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space

Mengjing Wu, Junyu Xuan, Jie Lu

Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach

Jason Piquenot, Maxime Berar, Romain Raveaux et al.

HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere

Hatef Otroshi Shahreza, Sébastien Marcel

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance

Dongmin Park, Sebin Kim, Taehong Moon et al.

Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents

Boyu Gou, Demi Ruohan Wang, Boyuan Zheng et al.

Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning

Hai Zhang, Boyuan Zheng, Tianying Ji et al.

BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models

Yu Feng, Ben Zhou, Weidong Lin et al.

Decentralized Optimization with Coupled Constraints

Demyan Yarmoshik, Alexander Rogozin, Nikita Kiselev et al.

A Visual Dive into Conditional Flow Matching

Anne Gagneux, Ségolène Martin, Rémi Emonet et al.

Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks

Zixuan Xiong, Guangwei Xu, wenkai zhang et al.

Large Language Models Often Say One Thing and Do Another

Ruoxi Xu, Hongyu Lin, Xianpei Han et al.

Enhancing Vision-Language Model with Unmasked Token Alignment

Hongsheng Li, Jihao Liu, Boxiao Liu et al.

A3D: Does Diffusion Dream about 3D Alignment?

Savva Ignatyev, Nina Konovalova, Daniil Selikhanovych et al.

Making Transformer Decoders Better Differentiable Indexers

Wuchao Li, Kai Zheng, Defu Lian et al.

The KoLMogorov Test: Compression by Code Generation

Ori Yoran, Kunhao Zheng, Fabian Gloeckle et al.

Long Context Compression with Activation Beacon

Peitian Zhang, Zheng Liu, Shitao Xiao et al.

K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models

Jaehyung Seo, Heuiseok Lim

AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection

Wei Dai, Jicong Fan

FlashMask: Efficient and Rich Mask Extension of FlashAttention

Guoxia Wang, Jinle Zeng, Xiyuan Xiao et al.

CipherPrune: Efficient and Scalable Private Transformer Inference

Yancheng Zhang, Jiaqi Xue, Mengxin Zheng et al.

FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling

zhengqiang ZHANG, Ruihuang Li, Lei Zhang

Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion

Chaodong Xiao, Minghan Li, zhengqiang ZHANG et al.

Data Selection via Optimal Control for Language Models

Yuxian Gu, Li Dong, Hongning Wang et al.

TeaserGen: Generating Teasers for Long Documentaries

Weihan Xu, Paul Pu Liang, Haven Kim et al.

VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems

Xudong Gong, Feng Dawei, Kele Xu et al.

Scaling Laws for Downstream Task Performance in Machine Translation

Berivan Isik, NATALIA PONOMAREVA, Hussein Hazimeh et al.

Ranking-aware adapter for text-driven image ordering with CLIP

Wei-Hsiang Yu, Yen-Yu Lin, Ming-Hsuan Yang et al.

CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning

Hao Cui, Zahra Shamsi, Gowoon Cheon et al.

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Xin Wang, Yu Zheng, Zhongwei Wan et al.

LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision

Jiani Huang, Ziyang Li, Mayur Naik et al.

Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond

Giuseppe Serra, Florian Buettner

Diversity-Rewarded CFG Distillation

Geoffrey Cideron, Andrea Agostinelli, Johan Ferret et al.

Backdooring Vision-Language Models with Out-Of-Distribution Data

Weimin Lyu, Michael Yao, Saumya Gupta et al.

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Chankyu Lee, Rajarshi Roy, Mengyao Xu et al.

GenXD: Generating Any 3D and 4D Scenes

Yuyang Zhao, Chung-Ching Lin, Kevin Lin et al.

Meta-Continual Learning of Neural Fields

Seungyoon Woo, Junhyeog Yun, Gunhee Kim

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving

Xiang Li, Pengfei Li, Yupeng Zheng et al.

Adversarial Attacks on Data Attribution

Xinhe Wang, Pingbang Hu, Junwei Deng et al.

DPLM-2: A Multimodal Diffusion Protein Language Model

Xinyou Wang, Zaixiang Zheng, Fei YE et al.

Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis

Weiwei Lin, Chenhang HE

Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context

Spencer Frei, Gal Vardi

Grounding Multimodal Large Language Model in GUI World

Weixian Lei, Difei Gao, Mike Zheng Shou

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning

Haotian Zhang, Mingfei Gao, Zhe Gan et al.

NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative

Asmar Nadeem, Faegheh Sardari, Robert Dawes et al.

Learning View-invariant World Models for Visual Robotic Manipulation

Jing-Cheng Pang, Nan Tang, Kaiyuan Li et al.

Exploring Local Memorization in Diffusion Models via Bright Ending Attention

Chen Chen, Daochang Liu, Mubarak Shah et al.

Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank

Wenhao Zhan, Scott Fujimoto, Zheqing Zhu et al.

Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification

Wen Wen, Han Li, Tieliang Gong et al.

Restating the Proof of Linear Convergence for Linear GNNs

Huayi Tang, Yuhe Guo, Yong Liu et al.

TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics

Lu Yi, Jie Peng, Yanping Zheng et al.

Process Reward Model with Q-value Rankings

Wendi Li, Yixuan Li

UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models

Fanghua Yu, Jinjin Gu, Jinfan Hu et al.

Efficient Cross-Episode Meta-RL

Gresa Shala, André Biedenkapp, Pierre Krack et al.

Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning

Linjiajie Fang, Ruoxue Liu, Jing Zhang et al.

TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models

Leigang Qu, Haochuan Li, Tan Wang et al.

Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding

Jinbiao Chen, Zhiguang Cao, Jiahai Wang et al.