Most Cited 2024 "cross-model transfer" Papers

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

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

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

Chanho Lee, Jinsu Son, Hyounguk Shon et al.

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

Xinyi Wu, Wentao Ma, Dan Guo et al.

3D Human Pose Perception from Egocentric Stereo Videos

Hiroyasu Akada, Jian Wang, Vladislav Golyanik et al.

BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model

Chenwei Xu, Yu-Chao Huang, Jerry Yao-Chieh Hu et al.

GALA: Generating Animatable Layered Assets from a Single Scan

Taeksoo Kim, Byungjun Kim, Shunsuke Saito et al.

Zero Bubble (Almost) Pipeline Parallelism

Penghui Qi, Xinyi Wan, Guangxing Huang et al.

Prioritized Semantic Learning for Zero-shot Instance Navigation

Xinyu Sun, Lizhao Liu, Hongyan Zhi et al.

Transforming and Combining Rewards for Aligning Large Language Models

Zihao Wang, Chirag Nagpal, Jonathan Berant 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.

Image Clustering with External Guidance

Yunfan Li, Peng Hu, Dezhong Peng et al.

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

Jiacheng Chen, Zeyuan Ma, Hongshu Guo et al.

Selective Visual Representations Improve Convergence and Generalization for Embodied AI

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

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

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

Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models

Shengqu Cai, Duygu Ceylan, Matheus Gadelha et al.

MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection

Jakub Micorek, Horst Possegger, Dominik Narnhofer et al.

Improved baselines for vision-language pre-training

Jakob Verbeek, Enrico Fini, Michal Drozdzal et al.

HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning

Fucai Ke, Zhixi Cai, Simindokht Jahangard et al.

Probabilistically Rewired Message-Passing Neural Networks

Chendi Qian, Andrei Manolache, Kareem Ahmed et al.

PointBeV: A Sparse Approach for BeV Predictions

Loick Chambon, Éloi Zablocki, Mickaël Chen et al.

Multi-Class Support Vector Machine with Maximizing Minimum Margin

Feiping Nie, Zhezheng Hao, Rong Wang

GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection

Haozhan Shen, Tiancheng Zhao, Mingwei Zhu et al.

Rethinking Boundary Discontinuity Problem for Oriented Object Detection

Hang Xu, Xinyuan Liu, Haonan Xu et al.

DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing

Jia-Wei Liu, Yan-Pei Cao, Jay Zhangjie Wu et al.

Out-of-Domain Generalization in Dynamical Systems Reconstruction

Niclas Göring, Florian Hess, Manuel Brenner et al.

UniGS: Unified Representation for Image Generation and Segmentation

Lu Qi, Lehan Yang, Weidong Guo et al.

Thermometer: Towards Universal Calibration for Large Language Models

Maohao Shen, Subhro Das, Kristjan Greenewald et al.

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

Yuwei Fu, Haichao Zhang, di wu et al.

T-Cal: An Optimal Test for the Calibration of Predictive Models

Donghwan Lee, Xinmeng Huang, Hamed Hassani et al.

HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation

Ce Zhang, Simon Stepputtis, Joseph Campbell et al.

PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation

Yizhe Xiong, Hui Chen, Tianxiang Hao et al.

Learning to design protein-protein interactions with enhanced generalization

Anton Bushuiev, Roman Bushuiev, Petr Kouba et al.

GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding

Chengyao Wang, Li Jiang, Xiaoyang Wu 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.

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning

Xiangzhe Kong, Wenbing Huang, Yang Liu

SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation

Changsheng Lv, Mengshi Qi, Xia Li et al.

MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling

Xuzhe Zhang, Yuhao Wu, Elsa Angelini et al.

Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators

Yifan Pu, Xia Zhuofan, Jiayi Guo et al.

DTL: Disentangled Transfer Learning for Visual Recognition

Minghao Fu, Ke Zhu, Jianxin Wu

Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching

Meng Chu, Zhedong Zheng, Wei Ji et al.

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

Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong et al.

ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy

Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption

Rui Yang, Han Zhong, Jiawei Xu et al.

StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation

Sidi Wu, Yizi Chen, Loic Landrieu et al.

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

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

LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning

Bolin Lai, Xiaoliang Dai, Lawrence Chen et al.

Recasting Regional Lighting for Shadow Removal

Yuhao Liu, Zhanghan Ke, Ke Xu et al.

Supervised Knowledge Makes Large Language Models Better In-context Learners

Linyi Yang, Shuibai Zhang, Zhuohao Yu et al.

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

Sijia Chen, En Yu, Jinyang Li et al.

Emergence of In-Context Reinforcement Learning from Noise Distillation

Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin et al.

Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation

Jin Wang, Bingfeng Zhang, Jian Pang et al.

IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing

Shaofei Wang, Bozidar Antic, Andreas Geiger et al.

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

Noga Mudrik, Yenho Chen, Eva Yezerets et al.

SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System

Yunfei Fan, Tianyu Zhao, Guidong Wang

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

Charlie Hou, Akshat Shrivastava, Hongyuan Zhan et al.

In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation

Dahyun Kang, Minsu Cho

Efficient Inference of Vision Instruction-Following Models with Elastic Cache

ZUYAN LIU, Benlin Liu, Jiahui Wang et al.

PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation

Ardian Umam, Cheng-Kun Yang, Min-Hung Chen et al.

Enhancing Diffusion Models with Text-Encoder Reinforcement Learning

Chaofeng Chen, Annan Wang, Haoning Wu et al.

Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers

Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim

DiffusionPoser: Real-time Human Motion Reconstruction From Arbitrary Sparse Sensors Using Autoregressive Diffusion

Tom Van Wouwe, Seunghwan Lee, Antoine Falisse et al.

Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation

Xinyi Wang, Alfonso Amayuelas, Kexun Zhang et al.

FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering

Yongxin Guo, Xiaoying Tang, Tao Lin

A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning

Yinmin Zhang, Jie Liu, Chuming Li et al.

Robust Multi-Task Learning with Excess Risks

Yifei He, Shiji Zhou, Guojun Zhang et al.

On Error Propagation of Diffusion Models

Yangming Li, Mihaela van der Schaar

CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning

Liyiming Ke, Yunchu Zhang, Abhay Deshpande et al.

Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning

Libin Zhu, Chaoyue Liu, Adityanarayanan Radhakrishnan et al.

Dual DETRs for Multi-Label Temporal Action Detection

Yuhan Zhu, Guozhen Zhang, Jing Tan et al.

Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting

Zijie Chen, Lichao Zhang, Fangsheng Weng et al.

Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning

Haoyu Chen, Wenbo Li, Jinjin Gu et al.

Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation

Xianghui Xie, Bharat Lal Bhatnagar, Jan Lenssen et al.

Fantastic Generalization Measures are Nowhere to be Found

Michael Gastpar, Ido Nachum, Jonathan Shafer et al.

WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering

Pingyi Chen, Chenglu Zhu, Sunyi Zheng et al.

Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning

Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos et al.

Multi-Object Tracking in the Dark

Xinzhe Wang, Kang Ma, Qiankun Liu et al.

Reinformer: Max-Return Sequence Modeling for Offline RL

Zifeng Zhuang, Dengyun Peng, Jinxin Liu et al.

Learning and Forgetting Unsafe Examples in Large Language Models

Jiachen Zhao, Zhun Deng, David Madras et al.

Scaling Laws for Associative Memories

Vivien Cabannes, Elvis Dohmatob, Alberto Bietti

Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity

Ruijie Quan, Wenguan Wang, Zhibo Tian et al.

Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning

Yan Li, Weiwei Guo, Xue Yang et al.

AesFA: An Aesthetic Feature

Aware Arbitrary Neural Style Transfer

Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts

Fei Ni, Jianye Hao, Shiguang Wu et al.

Cross-Domain Policy Adaptation by Capturing Representation Mismatch

Jiafei Lyu, Chenjia Bai, Jing-Wen Yang et al.

MagiCapture: High-Resolution Multi-Concept Portrait Customization

9256 Junha Hyung, Jaeyo Shin, Jaegul Choo

Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection

Xiangyu Dong, Xingyi Zhang, Sibo WANG

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer

Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya et al.

OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection

Hu Zhang, xu jianhua, Tao Tang et al.

Decomposing and Editing Predictions by Modeling Model Computation

Harshay Shah, Andrew Ilyas, Aleksander Madry

UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous Driving

Kai Cheng, Xiaoxiao Long, Wei Yin et al.

Learning Iterative Reasoning through Energy Diffusion

Yilun Du, Jiayuan Mao, Josh Tenenbaum

Pairwise Alignment Improves Graph Domain Adaptation

Shikun Liu, Deyu Zou, Han Zhao et al.

Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation

Yuan Wang, Rui Sun, Naisong Luo et al.

WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights

Youngdong Jang, Dong In Lee, MinHyuk Jang et al.

VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation

CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive Sensing

Zhen Guo, Hongping Gan

Fewer Truncations Improve Language Modeling

Hantian Ding, Zijian Wang, Giovanni Paolini et al.

A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks

Yixiang Qiu, Hao Fang, Hongyao Yu et al.

Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?

Fan Yao, Chuanhao Li, Denis Nekipelov et al.

Federated Generalized Category Discovery

Nan Pu, Wenjing Li, Xinyuan Ji et al.

Some Fundamental Aspects about Lipschitz Continuity of Neural Networks

Grigory Khromov, Sidak Pal Singh

Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning

Sumeet Batra, Bryon Tjanaka, Matthew Fontaine et al.

Compositional Preference Models for Aligning LMs

DONGYOUNG GO, Tomek Korbak, Germàn Kruszewski et al.

Perception-Oriented Video Frame Interpolation via Asymmetric Blending

Guangyang Wu, Xin Tao, Changlin Li et al.

Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment

Muhammad Sohail Danish, Muhammad Haris Khan, Muhammad Akhtar Munir et al.

What's in a Prior? Learned Proximal Networks for Inverse Problems

Zhenghan Fang, Sam Buchanan, Jeremias Sulam

MANUS: Markerless Grasp Capture using Articulated 3D Gaussians

Chandradeep Pokhariya, Ishaan Shah, Angela Xing et al.

Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes

Yaoting Wang, Peiwen Sun, Dongzhan Zhou et al.

SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection

Haimei Zhao, Qiming Zhang, Shanshan Zhao et al.

SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training

Chendi Zhu, Lujun Li, Yuli Wu et al.

Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning

Yun Li, Zhe Liu, Hang Chen et al.

Diffusion Time-step Curriculum for One Image to 3D Generation

YI Xuanyu, Zike Wu, Qingshan Xu et al.

Stochastic Localization via Iterative Posterior Sampling

Louis Grenioux, Maxence Noble, Marylou Gabrié et al.

Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models

Ziyu Wang, Lejun Min, Gus Xia

VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook

Wenbin Zou, Hongxia Gao, Tian Ye et al.

Permutation Equivariance of Transformers and Its Applications

Hengyuan Xu, Liyao Xiang, Hangyu Ye et al.

Dual Associated Encoder for Face Restoration

Yu-Ju Tsai, Yu-Lun Liu, Lu Qi et al.

Would Deep Generative Models Amplify Bias in Future Models?

Tianwei Chen, Yusuke Hirota, Mayu Otani et al.

StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization

Shida Wang, Qianxiao Li

Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How

Sebastian Pineda Arango, Fabio Ferreira, Arlind Kadra et al.

Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks

Sehwan Choi, Jun Won Choi, JUNGHO KIM et al.

Critical windows: non-asymptotic theory for feature emergence in diffusion models

Marvin Li, Sitan Chen

FastMAC: Stochastic Spectral Sampling of Correspondence Graph

Yifei Zhang, Hao Zhao, Hongyang Li et al.

Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation

Can Yaras, Peng Wang, Laura Balzano et al.

Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function

Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan

Doubly Abductive Counterfactual Inference for Text-based Image Editing

Xue Song, Jiequan Cui, Hanwang Zhang et al.

Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences

Minyoung Hwang, Luca Weihs, Chanwoo Park et al.

Efficient Modulation for Vision Networks

Xu Ma, Xiyang Dai, Jianwei Yang et al.

Denoising Diffusion Step-aware Models

Shuai Yang, Yukang Chen, Luozhou WANG et al.

GeoCalib: Learning Single-image Calibration with Geometric Optimization

Alexander Veicht, Paul-Edouard Sarlin, Philipp Lindenberger et al.

Improving protein optimization with smoothed fitness landscapes

Andrew Kirjner, Jason Yim, Raman Samusevich et al.

On the Duality Between Sharpness-Aware Minimization and Adversarial Training

Yihao Zhang, Hangzhou He, Jingyu Zhu et al.

FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning

Chenhao Li, Elijah Stanger-Jones, Steve Heim et al.

Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion

Yang Cai, Argyris Oikonomou, Weiqiang Zheng

MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution

Yuxuan Jiang, Chen Feng, Fan Zhang et al.

EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading

Molei Qin, Shuo Sun, Wentao Zhang et al.

Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment

Ziyu Shan, Yujie Zhang, Qi Yang et al.

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

Saarthak Kapse, Pushpak Pati, Srijan Das et al.

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series

Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi et al.

Noise Map Guidance: Inversion with Spatial Context for Real Image Editing

Hansam Cho, Jonghyun Lee, Seoung Bum Kim et al.

Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation

Rongyu Zhang, Yulin Luo, Jiaming Liu et al.

LLMGA: Multimodal Large Language Model based Generation Assistant

Bin Xia, Shiyin Wang, Yingfan Tao et al.

Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information

Linfeng Ye, Shayan Mohajer Hamidi, Renhao Tan et al.

Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion

Linzhan Mou, Jun-Kun Chen, Yu-Xiong Wang

Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation

Divyat Mahajan, Ioannis Mitliagkas, Brady Neal et al.

High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise

Eduard Gorbunov, Abdurakhmon Sadiev, Marina Danilova et al.

In-Context Reinforcement Learning for Variable Action Spaces

Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov et al.

Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks

Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong et al.

SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation

Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu et al.

Towards Certified Unlearning for Deep Neural Networks

Binchi Zhang, Yushun Dong, Tianhao Wang et al.

TrojVLM: Backdoor Attack Against Vision Language Models

Weimin Lyu, Lu Pang, Tengfei Ma et al.

Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels

Zhuohong Li, Wei He, Jiepan Li et al.

Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Kaiwen Xue, Yuhao Zhou, Shen Nie et al.

SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection

Hongcheng Zhang, Liu Liang, Pengxin Zeng et al.

The Entropy Enigma: Success and Failure of Entropy Minimization

Ori Press, Ravid Shwartz-Ziv, Yann LeCun et al.

MoDE: CLIP Data Experts via Clustering

Jiawei Ma, Po-Yao Huang, Saining Xie et al.

Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers

Zhibo Yang, Sounak Mondal, Seoyoung Ahn et al.

Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving

Zhenghao Peng, Wenjie Luo, Yiren Lu et al.

Enhancing Vectorized Map Perception with Historical Rasterized Maps

Xiaoyu Zhang, Guangwei Liu, Zihao Liu et al.

A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives

Yudong Gao, Honglong Chen, Peng Sun et al.

CLIM: Contrastive Language-Image Mosaic for Region Representation

Size Wu, Wenwei Zhang, Lumin XU et al.

An Empirical Study of Realized GNN Expressiveness

Yanbo Wang, Muhan Zhang

Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation

Qiyuan Dai, Sibei Yang

Improved Visual Grounding through Self-Consistent Explanations

Ruozhen He, Paola Cascante-Bonilla, Ziyan Yang et al.

Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering

Jiawei Yao, Qi Qian, Juhua Hu

NetTrack: Tracking Highly Dynamic Objects with a Net

Guangze Zheng, Shijie Lin, Haobo Zuo et al.

MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty

Tim Broedermann, David Brüggemann, Christos Sakaridis et al.

Small Scale Data-Free Knowledge Distillation

He Liu, Yikai Wang, Huaping Liu et al.

Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding

Talfan Evans, Shreya Pathak, Hamza Merzic et al.

Denoising Task Routing for Diffusion Models

Byeongjun Park, Sangmin Woo, Hyojun Go et al.

SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation

Junyan Ye, Qiyan Luo, Jinhua Yu et al.

Accelerating Parallel Sampling of Diffusion Models

Zhiwei Tang, Jiasheng Tang, Hao Luo et al.

SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow

Yuanzhi Zhu, Xingchao Liu, Qiang Liu

Provably Robust Conformal Prediction with Improved Efficiency

Ge Yan, Yaniv Romano, Tsui-Wei Weng

360+x: A Panoptic Multi-modal Scene Understanding Dataset

Hao Chen, Yuqi Hou, Chenyuan Qu et al.

Isomorphic Pruning for Vision Models

Gongfan Fang, Xinyin Ma, Michael Bi Mi et al.

SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant

Guohao Sun, Can Qin, JIAMINAN WANG et al.

Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation

Jihyun Kim, Changjae Oh, Hoseok Do et al.

Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?

Andreas Opedal, Alessandro Stolfo, Haruki Shirakami et al.

Matrix Information Theory for Self-Supervised Learning

Yifan Zhang, Zhiquan Tan, Jingqin Yang et al.

Unleashing the Power of Prompt-driven Nucleus Instance Segmentation

Zhongyi Shui, Yunlong Zhang, Kai Yao et al.

Score Distillation Sampling with Learned Manifold Corrective

Thiemo Alldieck, Nikos Kolotouros, Cristian Sminchisescu

Position: Why We Must Rethink Empirical Research in Machine Learning

Moritz Herrmann, F. Julian D. Lange, Katharina Eggensperger et al.

ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation

Jia-Hao Wu, Fu-Jen Tsai, Yan-Tsung Peng et al.

Context-Aware Meta-Learning

Christopher Fifty, Dennis Duan, Ronald Junkins et al.

EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere

Jiaxi Jiang, Paul Streli, Manuel Meier et al.

Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition

Haijun Xiong, Bin Feng, Xinggang Wang et al.

Cascade Prompt Learning for Visual-Language Model Adaptation

Ge Wu, Xin Zhang, Zheng Li et al.

Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation

Ignat Georgiev, Krishnan Srinivasan, Jie Xu et al.

AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer

Zhuguanyu Wu, Jiaxin Chen, Hanwen Zhong et al.

ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations

Maitreya Patel, Changhoon Kim, Sheng Cheng et al.

Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection

Yuanpeng Tu, Boshen Zhang, Liang Liu et al.

Self-Correcting Self-Consuming Loops for Generative Model Training

Nate Gillman, Michael Freeman, Daksh Aggarwal et al.

Training-Free Pretrained Model Merging

Zhengqi Xu, Ke Yuan, Huiqiong Wang et al.

Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference

Benjamin Walker, Andrew McLeod, Tiexin QIN et al.

LISO: Lidar-only Self-Supervised 3D Object Detection

Stefan Baur, Frank Moosmann, Andreas Geiger

HoloVIC: Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative

CONG MA, Qiao Lei, Chengkai Zhu et al.

Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation

Nina Weng, Paraskevas Pegios, Eike Petersen et al.

Text-Conditioned Resampler For Long Form Video Understanding

Bruno Korbar, Yongqin Xian, Alessio Tonioni et al.

AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning

Yuwei Tang, ZhenYi Lin, Qilong Wang et al.