Most Cited 2024 "jacobian matrix analysis" Papers

Frozen CLIP Transformer Is an Efficient Point Cloud Encoder

Xiaoshui Huang, Zhou Huang, Sheng Li et al.

Trackastra: Transformer-based cell tracking for live-cell microscopy

Benjamin Gallusser, Weigert Martin

LaneCPP: Continuous 3D Lane Detection using Physical Priors

Maximilian Pittner, Joel Janai, Alexandru Paul Condurache

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption

Nan Yin, Mengzhu Wang, Mengzhu Wang et al.

Critic-Guided Decision Transformer for Offline Reinforcement Learning

Yuanfu Wang, Chao Yang, Ying Wen et al.

SphereHead: Stable 3D Full-head Synthesis with Spherical Tri-plane Representation

Heyuan Li, Ce Chen, Tianhao Shi et al.

DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly

Gianluca Scarpellini, Stefano Fiorini, Francesco Giuliari et al.

Harmonizing Generalization and Personalization in Federated Prompt Learning

Tianyu Cui, Hongxia Li, Jingya Wang et al.

Inherently Interpretable Time Series Classification via Multiple Instance Learning

Joseph Early, Gavin Cheung, Kurt Cutajar et al.

Learning Domain-Independent Heuristics for Grounded and Lifted Planning

AccDiffusion: An Accurate Method for Higher-Resolution Image Generation

Zhihang Lin, Mingbao Lin, Meng Zhao et al.

Label Propagation for Zero-shot Classification with Vision-Language Models

Vladan Stojnić, Yannis Kalantidis, Giorgos Tolias

SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding

Tianyu Yu, Chengyue Jiang, Chao Lou et al.

Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?

Tokio Kajitsuka, Issei Sato

MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation

Yanhui Wang, Jianmin Bao, Wenming Weng et al.

Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views

Yabo Chen, Jiemin Fang, Yuyang Huang et al.

LangCell: Language-Cell Pre-training for Cell Identity Understanding

Suyuan Zhao, Jiahuan Zhang, Yushuai Wu et al.

TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training

Yuqi Lin, Minghao Chen, Kaipeng Zhang et al.

TextCraftor: Your Text Encoder Can be Image Quality Controller

Yanyu Li, Xian Liu, Anil Kag et al.

Navigating Open Set Scenarios for Skeleton-Based Action Recognition

Kunyu Peng, Cheng Yin, Junwei Zheng et al.

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection

Liren He, Zhengkai Jiang, Jinlong Peng et al.

TEA: Test-time Energy Adaptation

Yige Yuan, Bingbing Xu, Liang Hou et al.

Say Anything with Any Style

Shuai Tan, Bin Ji, Yu Ding et al.

MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models

Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin et al.

Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations

Tomáš Chobola, Yu Liu, Hanyi Zhang et al.

AMD: Autoregressive Motion Diffusion

Bo Han, Hao Peng, Minjing Dong et al.

Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints

Jian Chen, Ruiyi Zhang, Yufan Zhou et al.

Idempotence and Perceptual Image Compression

Tongda Xu, Ziran Zhu, Dailan He et al.

Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior

Chen Cheng, Xiaofeng Yang, Fan Yang et al.

Zero-Shot Robustification of Zero-Shot Models

Dyah Adila, Changho Shin, Linrong Cai et al.

DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification

Wenhui Zhu, Xiwen Chen, Peijie Qiu et al.

Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal

Yi Cheng, Wenge Liu, Jian Wang et al.

Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning

Xinshun Wang, Zhongbin Fang, Xia Li et al.

Generalized Schrödinger Bridge Matching

Guan-Horng Liu, Yaron Lipman, Maximilian Nickel et al.

GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features

Luc Sträter, Mohammadreza Salehi, Efstratios Gavves et al.

SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms

Xingrun Xing, Zheng Zhang, Ziyi Ni et al.

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery

Zimian Wei, Peijie Dong, Zheng Hui et al.

VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context

yunxin li, Baotian Hu, Haoyuan Shi et al.

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation

Ziyang Chen, Yongsheng Pan, Yiwen Ye et al.

Occupancy as Set of Points

Yiang Shi, Tianheng Cheng, Qian Zhang et al.

OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding

Ming Hu, Peng Xia, Lin Wang et al.

Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities

Xu Zheng, Yuanhuiyi Lyu, LIN WANG

BEV-MAE: Bird’s Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios

ZhiWei Lin, Yongtao Wang, Shengxiang Qi et al.

HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding

Trong-Thuan Nguyen, Pha Nguyen, Khoa Luu

Understanding Finetuning for Factual Knowledge Extraction

Gaurav Ghosal, Tatsunori Hashimoto, Aditi Raghunathan

Zero-shot Object Counting with Good Exemplars

Huilin Zhu, Jingling Yuan, Zhengwei Yang et al.

Energy-guided Entropic Neural Optimal Transport

Petr Mokrov, Alexander Korotin, Alexander Kolesov et al.

Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors

Lihe Ding, Shaocong Dong, Zhanpeng Huang et al.

DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification

Xinyan Liang, Pinhan Fu, Qian Guo et al.

HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data

Mengqi Zhang, Yang Fu, Zheng Ding et al.

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis

Zanlin Ni, Yulin Wang, Renping Zhou et al.

Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi et al.

Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks

Yuxuan Song, Jingjing Gong, Hao Zhou et al.

Masked Angle-Aware Autoencoder for Remote Sensing Images

Zhihao Li, Biao Hou, Siteng Ma et al.

The Nerfect Match: Exploring NeRF Features for Visual Localization

Qunjie Zhou, Maxim Maximov, Or Litany et al.

Attention Prompting on Image for Large Vision-Language Models

Runpeng Yu, Weihao Yu, Xinchao Wang

Generative Human Motion Stylization in Latent Space

chuan guo, Yuxuan Mu, Xinxin Zuo et al.

Automatic Radiology Reports Generation via Memory Alignment Network

Hongyu Shen, Mingtao Pei, Juncai Liu et al.

MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos

Yushuo Chen, Zerong Zheng, Zhe Li et al.

Language-Driven Physics-Based Scene Synthesis and Editing via Feature Splatting

Ri-Zhao Qiu, Ge Yang, Weijia Zeng et al.

Compressed Context Memory for Online Language Model Interaction

Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun et al.

Sat2Scene: 3D Urban Scene Generation from Satellite Images with Diffusion

Zuoyue Li, Zhenqiang Li, Zhaopeng Cui et al.

DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video Editing

Hyeonho Jeong, Jinho Chang, GEON YEONG PARK et al.

RLIF: Interactive Imitation Learning as Reinforcement Learning

Jianlan Luo, Perry Dong, Yuexiang Zhai et al.

Tuning-Free Image Customization with Image and Text Guidance

Pengzhi Li, Qiang Nie, Ying Chen et al.

AutoVP: An Automated Visual Prompting Framework and Benchmark

Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen et al.

Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization

Kun LEI, Zhengmao He, Chenhao Lu et al.

ProMark: Proactive Diffusion Watermarking for Causal Attribution

Vishal Asnani, John Collomosse, Tu Bui et al.

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages

Guozheng Ma, Lu Li, Sen Zhang et al.

Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization

Deng Li, Aming Wu, Yaowei Wang et al.

ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers

Jinke Li, Xiao He, Chonghua Zhou et al.

Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles

Vanessa Sklyarova, Egor Zakharov, Otmar Hilliges et al.

Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees

Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd

Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning

Sharut Gupta, Joshua Robinson, Derek Lim et al.

Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts

Qin Liu, Jaemin Cho, Mohit Bansal et al.

Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning

Jinxin Liu, Ziqi Zhang, Zhenyu Wei et al.

Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure

Xinying Zou, Samir Perlaza, Inaki Esnaola et al.

Dual Self-Paced Cross-Modal Hashing

Yuan Sun, Jian Dai, Zhenwen Ren et al.

Scaling Down Deep Learning with MNIST-1D

Sam Greydanus, Dmitry Kobak

Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering

Zhangbin Li, Jinxing Zhou, Dan Guo et al.

Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models

Zhaowei Zhu, Jialu Wang, Hao Cheng et al.

BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs

Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan et al.

Entity-Centric Reinforcement Learning for Object Manipulation from Pixels

Dan Haramati, Tal Daniel, Aviv Tamar

Learning Correlation Structures for Vision Transformers

Manjin Kim, Paul Hongsuck Seo, Cordelia Schmid et al.

TIM: A Time Interval Machine for Audio-Visual Action Recognition

Jacob Chalk, Jaesung Huh, Evangelos Kazakos et al.

Predicting Emergent Abilities with Infinite Resolution Evaluation

Shengding Hu, Xin Liu, Xu Han et al.

Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization

Yinbin Han, Meisam Razaviyayn, Renyuan Xu

Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework

Weixi Weng, Chun Yuan

Dispel Darkness for Better Fusion: A Controllable Visual Enhancer based on Cross-modal Conditional Adversarial Learning

HAO ZHANG, Linfeng Tang, Xinyu Xiang et al.

Structured Chemistry Reasoning with Large Language Models

Siru Ouyang, Zhuosheng Zhang, Bing Yan et al.

A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation

Yongkang Wang, Xuan Liu, Feng Huang et al.

A Sublinear Adversarial Training Algorithm

Yeqi Gao, Lianke Qin, Zhao Song et al.

Pseudo-Generalized Dynamic View Synthesis from a Video

Xiaoming Zhao, R Colburn, Fangchang Ma et al.

Code as Reward: Empowering Reinforcement Learning with VLMs

David Venuto, Mohammad Sami Nur Islam, Martin Klissarov et al.

SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation

Uiwon Hwang, Jonghyun Lee, Juhyeon Shin et al.

HyperFast: Instant Classification for Tabular Data

David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto et al.

Multi-modal Learning for Geospatial Vegetation Forecasting

Vitus Benson, Claire Robin, Christian Requena-Mesa et al.

CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay

Natasha Butt, Blazej Manczak, Auke Wiggers et al.

Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection

Zhiyuan Cheng, Hongjun Choi, Shiwei Feng et al.

Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification

Kunlun Xu, Xu Zou, Yuxin Peng et al.

Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods

Zijian Liu, Zhengyuan Zhou

No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation

Xiangyang Zhu, Renrui Zhang, Bowei He et al.

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning

Li Sun, Zhenhao Huang, Zixi Wang et al.

Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning

Zhengwei Fang, Rui Wang, Tao Huang et al.

Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching

Peng Xu, Zhiyu Xiang, Chengyu Qiao et al.

Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations

Yongshuo Zong, Tingyang Yu, Ruchika Chavhan et al.

Differentiable Weightless Neural Networks

Alan Bacellar, Zachary Susskind, Mauricio Breternitz Jr et al.

R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation

Jiayu Xiao, Henglei Lv, Henglei Lv et al.

Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation

Ming Xu, Stephen Gould

Safe-Sim: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries

WEI-JER Chang, Francesco Pittaluga, Masayoshi TOMIZUKA et al.

PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning

Hyeong Kyu Choi, Sharon Li

Efficient and Scalable Graph Generation through Iterative Local Expansion

Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin et al.

Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking

Wei Cao, Chang Luo, Biao Zhang et al.

Working Memory Capacity of ChatGPT: An Empirical Study

Dongyu Gong, Xingchen Wan, Dingmin Wang

Blind Image Quality Assessment Based on Geometric Order Learning

Nyeong-Ho Shin, Seon-Ho Lee, Chang-Su Kim

Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation

Jiaming Liu, Ran Xu, Senqiao Yang et al.

How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data

Mihaela Stoian, Salijona Dyrmishi, Maxime Cordy et al.

HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments

Qinhong Zhou, Sunli Chen, Yisong Wang et al.

Audio-Visual Segmentation via Unlabeled Frame Exploitation

Jinxiang Liu, Yikun Liu, Ferenas et al.

UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory

Haiwen Diao, Bo Wan, Ying Zhang et al.

FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

Haiping Wang, Yuan Liu, Bing WANG et al.

KPConvX: Modernizing Kernel Point Convolution with Kernel Attention

Hugues Thomas, Yao-Hung Hubert Tsai, Timothy Barfoot et al.

Predictive Dynamic Fusion

Bing Cao, Yinan Xia, Yi Ding et al.

CODE REPRESENTATION LEARNING AT SCALE

Dejiao Zhang, Wasi Ahmad, Ming Tan et al.

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation

Libo Huang, Yan Zeng, Chuanguang Yang et al.

MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction

Seongju Lee, Junseok Lee, Yeonguk Yu et al.

Small Model Can Self-Correct

Haixia Han, Jiaqing Liang, Jie Shi et al.

Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.

Raj Ghugare, Matthieu Geist, Glen Berseth et al.

Position: Explain to Question not to Justify

Przemyslaw Biecek, Wojciech Samek

M&M VTO: Multi-Garment Virtual Try-On and Editing

Luyang Zhu, Yingwei Li, Nan Liu et al.

SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation

Junjie Zhang, Chenjia Bai, Haoran He et al.

FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels

Authors: Jichang Li, Guanbin Li, Hui Cheng et al.

Simulation of Graph Algorithms with Looped Transformers

Artur Back de Luca, Kimon Fountoulakis

Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning

Wenjun Miao, Guansong Pang, Xiao Bai et al.

FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis

Raman Dutt, Ondrej Bohdal, Sotirios Tsaftaris et al.

Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt

Chenxi Liu, Zhenyi Wang, Tianyi Xiong et al.

Sparse Global Matching for Video Frame Interpolation with Large Motion

Chunxu Liu, Guozhen Zhang, Rui Zhao et al.

In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization

Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik et al.

Graph Neural Networks Use Graphs When They Shouldn't

Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach et al.

Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models

Mingrui Wu, Jiayi Ji, Oucheng Huang et al.

Do text-free diffusion models learn discriminative visual representations?

Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi et al.

LQER: Low-Rank Quantization Error Reconstruction for LLMs

Cheng Zhang, Jianyi Cheng, George Constantinides et al.

Generative Region-Language Pretraining for Open-Ended Object Detection

Chuang Lin, Yi Jiang, Lizhen Qu et al.

SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection

Huafeng Chen, Pengxu Wei, Guangqian Guo et al.

ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation

Zhiyuan MA, Yuxiang WEI, Yabin Zhang et al.

Synthesize Step-by-Step: Tools Templates and LLMs as Data Generators for Reasoning-Based Chart VQA

Zhuowan Li, Bhavan Jasani, Peng Tang et al.

Multistain Pretraining for Slide Representation Learning in Pathology

Guillaume Jaume, Anurag J Vaidya, Andrew Zhang et al.

Towards a statistical theory of data selection under weak supervision

Germain Kolossov, Andrea Montanari, Pulkit Tandon

Contrastive Difference Predictive Coding

Chongyi Zheng, Ruslan Salakhutdinov, Benjamin Eysenbach

StableDrag: Stable Dragging for Point-based Image Editing

Yutao Cui, Xiaotong Zhao, Guozhen Zhang et al.

DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis

Yuming Gu, Hongyi Xu, You Xie et al.

FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification

Yu Tian, Congcong Wen, Min Shi et al.

Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity

Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden et al.

Progressive Pretext Task Learning for Human Trajectory Prediction

Xiaotong Lin, Tianming Liang, Jian-Huang Lai et al.

Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning

Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong et al.

Delving into the Trajectory Long-tail Distribution for Muti-object Tracking

Sijia Chen, En Yu, Jinyang Li et al.

SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning

Jiacheng Chen, Zeyuan Ma, Hongshu Guo et al.

Benchmarking Object Detectors with COCO: A New Path Forward

Shweta Singh, Aayan Yadav, Jitesh Jain et al.

MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation

Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang et al.

Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities

AJ Piergiovanni, Isaac Noble, Dahun Kim et al.

Supervised Anomaly Detection for Complex Industrial Images

Aimira Baitieva, David Hurych, Victor Besnier et al.

SWinGS: Sliding Windows for Dynamic 3D Gaussian Splatting

Richard Shaw, Michal Nazarczuk, Song Jifei et al.

Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation

Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen et al.

Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration

shihao zhou, Jinshan Pan, Jinglei Shi et al.

Improved baselines for vision-language pre-training

Jakob Verbeek, Enrico Fini, Michal Drozdzal et al.

PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs

Charlie Hou, Akshat Shrivastava, Hongyuan Zhan et al.

Link-Context Learning for Multimodal LLMs

Yan Tai, Weichen Fan, Zhao Zhang et al.

ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy

Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu

Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions

Taehyeon Kim, JOONKEE KIM, Gihun Lee et al.

Zero Bubble (Almost) Pipeline Parallelism

Penghui Qi, Xinyi Wan, Guangxing Huang et al.

FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning

Yuwei Fu, Haichao Zhang, di wu et al.

Dolfin: Diffusion Layout Transformers without Autoencoder

Yilin Wang, Zeyuan Chen, Liangjun Zhong et al.

Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts

Huy Nguyen, Pedram Akbarian Saravi, Fanqi Yan et al.

ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining

Ruoxi Shi, Xinyue Wei, Cheng Wang et al.

Selective Visual Representations Improve Convergence and Generalization for Embodied AI

Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan et al.

Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers

Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai et al.

BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning

Jing Cui, Yufei Han, Yuzhe Ma et al.

Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation

Fangfu Liu, Hanyang Wang, Weiliang Chen et al.

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context

Jiwoo Son, Minsu Kim, Sanghyeok Choi et al.

Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition

Sihyun Yu, Weili Nie, De-An Huang et al.

CPR: Retrieval Augmented Generation for Copyright Protection

Aditya Golatkar, Alessandro Achille, Luca Zancato et al.

Emergence of In-Context Reinforcement Learning from Noise Distillation

Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin et al.

Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics

Noga Mudrik, Yenho Chen, Eva Yezerets et al.

2382 SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation

Chengyou Jia, Minnan Luo, Zhuohang Dang et al.

Probabilistically Rewired Message-Passing Neural Networks

Chendi Qian, Andrei Manolache, Kareem Ahmed et al.

Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations

Rui Zhao, Ruiqin Xiong, Jing Zhao et al.

Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning

Mustafa Shukor, Alexandre Rame, Corentin Dancette et al.

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption

Rui Yang, Han Zhong, Jiawei Xu et al.

SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark

Zhengdi Yu, Shaoli Huang, yongkang cheng et al.

DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes

Hao Yan, Zhihui Ke, Xiaobo Zhou et al.

FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection

Chanho Lee, Jinsu Son, Hyounguk Shon et al.

DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING

Shitong Duan, Xiaoyuan Yi, Peng Zhang et al.

ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning

Chen-Xiao Gao, Chenyang Wu, Mingjun Cao et al.

Outlier-robust Kalman Filtering through Generalised Bayes

Gerardo Duran-Martin, Matias Altamirano, Alex Shestopaloff et al.

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Guez Aflalo et al.

Learning to design protein-protein interactions with enhanced generalization

Anton Bushuiev, Roman Bushuiev, Petr Kouba et al.

MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual Grounding

Chun-Peng Chang, Shaoxiang Wang, Alain Pagani et al.

Multi-Class Support Vector Machine with Maximizing Minimum Margin

Feiping Nie, Zhezheng Hao, Rong Wang

Cooperation Does Matter: Exploring Multi-Order Bilateral Relations for Audio-Visual Segmentation

Qi Yang, Xing Nie, Tong Li et al.

Text-Based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning

Xinyi Wu, Wentao Ma, Dan Guo et al.