Most Cited 2024 "model perturbation" Papers

Learning Optimal Deterministic Policies with Stochastic Policy Gradients

Alessandro Montenegro, Marco Mussi, Alberto Maria Metelli et al.

Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization

Jiayun Wang, Yubei Chen, Stella Yu

Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations

Kewei Wang, Yizheng Wu, Jun Cen et al.

Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains

Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim et al.

MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent

Kaan Ozkara, Can Karakus, Parameswaran Raman et al.

RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation

Changsong Pang, Xieyuanli Chen, Yimin Liu et al.

Provably Convergent Federated Trilevel Learning

Yang Jiao, Kai YANG, Tiancheng Wu et al.

Occlusion-Aware Seamless Segmentation

Yihong Cao, Jiaming Zhang, Hao Shi et al.

Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition

Kyle Buettner, Sina Malakouti, Xiang Li et al.

Revisiting Sampson Approximations for Geometric Estimation Problems

Felix Rydell, Angelica Torres, Viktor Larsson

Augmented Neural Fine-tuning for Efficient Backdoor Purification

Md Nazmul Karim, Abdullah Al Arafat, Umar Khalid et al.

Predictive Coding beyond Correlations

Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak et al.

Scalable Group Choreography via Variational Phase Manifold Learning

Nhat Le, Khoa Do, Xuan Bui et al.

Bi-directional Contextual Attention for 3D Dense Captioning

Minjung Kim, Hyung Suk Lim, Soonyoung Lee et al.

How Far Can Fairness Constraints Help Recover From Biased Data?

Mohit Sharma, Amit Jayant Deshpande

Exploring the Complexity of Deep Neural Networks through Functional Equivalence

Guohao Shen

Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing

Lyudong Jin, Ming Tang, Meng Zhang et al.

IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics

Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy Vatolin

ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance

Liwen Sun, Abhineet Agarwal, Aaron Kornblith et al.

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models

Haotian Sun, Yuchen Zhuang, Wei Wei et al.

A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems

Guyard Theo, Cédric Herzet, Clément Elvira et al.

Faster Maximum Inner Product Search in High Dimensions

Mo Tiwari, Ryan Kang, Jaeyong Lee et al.

Video Frame Prediction from a Single Image and Events

Juanjuan Zhu, Zhexiong Wan, Yuchao Dai

Optimal Transport for Structure Learning Under Missing Data

Vy Vo, He Zhao, Trung Le et al.

DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance

Zixuan Wang, Jia Jia, Shikun Sun et al.

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing

Zikai Xiong, Niccolo Dalmasso, Alan Mishler et al.

Efficient Bias Mitigation Without Privileged Information

Mateo Espinosa Zarlenga, Sankaranarayanan, Jerone Andrews et al.

N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding

Jinhao Tian, Zuchao Li, Jiajia Li et al.

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing

Jan-Nico Zaech, Martin Danelljan, Tolga Birdal et al.

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations

Nisal Ranasinghe, Damith Senanayake, Sachith Seneviratne et al.

WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians

Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos et al.

Position: AI/ML Influencers Have a Place in the Academic Process

Iain Xie Weissburg, Mehir Arora, Xinyi Wang et al.

Risk-Aware Self-Consistent Imitation Learning for Trajectory Planning in Autonomous Driving

Yixuan Fan, Ya-Li Li, Shengjin Wang

How to Explore with Belief: State Entropy Maximization in POMDPs

Riccardo Zamboni, Duilio Cirino, Marcello Restelli et al.

FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions

Jiong WANG, Fengyu Yang, Bingliang Li et al.

Co-synthesis of Histopathology Nuclei Image-Label Pairs using a Context-Conditioned Joint Diffusion Model

Seonghui Min, Hyun-Jic Oh, Won-Ki Jeong

Local Causal Structure Learning in the Presence of Latent Variables

Feng Xie, Zheng Li, Peng Wu et al.

Exploring the LLM Journey from Cognition to Expression with Linear Representations

Yuzi Yan, Jialian Li, YipinZhang et al.

STAS: Spatial-Temporal Return Decomposition for Multi-Agent Reinforcement Learning

Sirui Chen, Zhaowei Zhang, Yaodong Yang et al.

Neuro-Symbolic Temporal Point Processes

Yang Yang, Chao Yang, Boyang Li et al.

Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization

Lahav Lipson, Jia Deng

Towards Making Learnware Specification and Market Evolvable

Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou

EarthLoc: Astronaut Photography Localization by Indexing Earth from Space

Gabriele Berton, Alex Stoken, Barbara Caputo et al.

Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection

Yucheng Han, Na Zhao, Weiling Chen et al.

Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining

Qi Zhang, Tianqi Du, Haotian Huang et al.

Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo

Mohammed Brahimi, Bjoern Haefner, Zhenzhang Ye et al.

UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs

Xi Han, Fei Hou, Hong Qin

Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment

Chen Zhang, Qiang HE, Yuan Zhou et al.

Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation

Junwei Zhang, Ruifang He, Fengyu Guo et al.

VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding

Ofir Abramovich, Niv Nayman, Sharon Fogel et al.

Exploring the Benefit of Activation Sparsity in Pre-training

Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin et al.

SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments

Niklas Gard, Anna Hilsmann, Peter Eisert

Revisiting Character-level Adversarial Attacks for Language Models

Elias Abad Rocamora, Yongtao Wu, Fanghui Liu et al.

COPAL: Continual Pruning in Large Language Generative Models

Srikanth Malla, Joon Hee Choi, Chiho Choi

In-Context Matting

He Guo, Zixuan Ye, Zhiguo Cao et al.

Joint-Task Regularization for Partially Labeled Multi-Task Learning

Kento Nishi, Junsik Kim, Wanhua Li et al.

Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model

Zhengrui Chen, Liying Lu, Ziyang Yuan et al.

Unsupervised Template-assisted Point Cloud Shape Correspondence Network

Jiacheng Deng, Jiahao Lu, Tianzhu Zhang

S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes

Xingyi Li, Zhiguo Cao, Yizheng Wu et al.

Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery

Zhengrui Chen, Liying Lu, Ziyang Yuan et al.

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

Yige Yuan, Bingbing Xu, Bo Lin et al.

HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation

Zhiying Leng, Tolga Birdal, Xiaohui Liang et al.

GLID: Pre-training a Generalist Encoder-Decoder Vision Model

Jihao Liu, Jinliang Zheng, Yu Liu et al.

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data

Shuvendu Roy, Ali Etemad

LiDAR-Event Stereo Fusion with Hallucinations

Luca Bartolomei, Matteo Poggi, Andrea Conti et al.

CPR-Coach: Recognizing Composite Error Actions based on Single-class Training

Shunli Wang, Shuaibing Wang, Dingkang Yang et al.

Geometry-aware Reconstruction and Fusion-refined Rendering for Generalizable Neural Radiance Fields

Tianqi Liu, Xinyi Ye, Min Shi et al.

A Unified Framework for Human-centric Point Cloud Video Understanding

Yiteng Xu, Kecheng Ye, xiao han et al.

All Beings Are Equal in Open Set Recognition

Chaohua Li, Enhao Zhang, Chuanxing Geng et al.

Dispersed Structured Light for Hyperspectral 3D Imaging

Suhyun Shin, Seokjun Choi, Felix Heide et al.

Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training

Qian Li, Yuxiao Hu, Yinpeng Dong et al.

Prompt Augmentation for Self-supervised Text-guided Image Manipulation

Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim

CNC-Net: Self-Supervised Learning for CNC Machining Operations

Mohsen Yavartanoo, Sangmin Hong, Reyhaneh Neshatavar et al.

Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation

Yujun Chen, Xin Tan, Zhizhong Zhang et al.

Set Prediction Guided by Semantic Concepts for Diverse Video Captioning

DOGE-Train: Discrete Optimization on GPU with End-to-End Training

Ahmed Abbas, P. Swoboda

Boosting Residual Networks with Group Knowledge

Shengji Tang, Peng Ye, Baopu Li et al.

Learning to Produce Semi-dense Correspondences for Visual Localization

Khang Truong Giang, Soohwan Song, Sungho Jo

Weak-to-Strong 3D Object Detection with X-Ray Distillation

Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin et al.

Information Design for Congestion Games with Unknown Demand

Svenja M. Griesbach, Martin Hoefer, Max Klimm et al.

Modeling Continuous Motion for 3D Point Cloud Object Tracking

Zhipeng Luo, Gongjie Zhang, Changqing Zhou et al.

Mind Artist: Creating Artistic Snapshots with Human Thought

Jiaxuan Chen, Yu Qi, Yueming Wang et al.

Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching

Matteo Bastico, Etienne Decencière, Laurent Corté et al.

BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind

Yuanyuan Mao, Xin Lin, Qin Ni et al.

Task-Free Dynamic Sparse Vision Transformer for Continual Learning

Fei Ye, Adrian Bors

PEGASUS: Personalized Generative 3D Avatars with Composable Attributes

Hyunsoo Cha, Byungjun Kim, Hanbyul Joo

SimCS: Simulation for Domain Incremental Online Continual Segmentation

Motasem Alfarra, Zhipeng Cai, Adel Bibi et al.

LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset

Haolin Liu, Chongjie Ye, Yinyu Nie et al.

ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models

Meng-Li Shih, Wei-Chiu Ma, Lorenzo Boyice et al.

Robot Fleet Learning via Policy Merging

Lirui Wang, Kaiqing Zhang, Allan Zhou et al.

Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences

Seungwook Kim, Kejie Li, Xueqing Deng et al.

DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation

Songsong Yu, Yifan Wang, Yunzhi Zhuge et al.

Component Fourier Neural Operator for Singularly Perturbed Differential Equations

Ye Li, Ting Du, Yiwen Pang et al.

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction

Wenshuo Chao, Zhaopeng Qiu, Likang Wu et al.

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics

Rene Winchenbach, Nils Thuerey

TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients

Mengdi Wang, Anna Bodonhelyi, Efe Bozkir et al.

Robustness-Guided Image Synthesis for Data-Free Quantization

Jianhong Bai, Yuchen Yang, Huanpeng Chu et al.

Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model

Yuxuan Liu, Haizhou Ai, Junliang Xing et al.

Learning Ultrametric Trees for Optimal Transport Regression

Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform

Shengyi Huang, Jiayi Weng, Rujikorn Charakorn et al.

Feature Collapse

Thomas Laurent, James von Brecht, Xavier Bresson

Unbiased Estimator for Distorted Conics in Camera Calibration

Chaehyeon Song, Jaeho Shin, Myung-Hwan Jeon et al.

Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory

Jonas Kälble, Sascha Wirges, Maxim Tatarchenko et al.

Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models

Qingyi Liu, Jinghui Qin, Wenxuan Ye et al.

The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing

Blaise Delattre, Alexandre Araujo, Quentin Barthélemy et al.

Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations

Yujee Song, Donghyun LEE, Rui Meng et al.

Racing Control Variable Genetic Programming for Symbolic Regression

Nan Jiang, Yexiang Xue

Self-Supervised Dataset Distillation for Transfer Learning

Dong Bok Lee, Seanie Lee, Joonho Ko et al.

Neural Time

Reversed Generalized Riccati Equation

In defense of parameter sharing for model-compression

Aditya Desai, Anshumali Shrivastava

A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network

Ruichen Ma, Guanchao Qiao, Yian Liu et al.

Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty

Changbin Li, Kangshuo Li, Yuzhe Ou et al.

Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes

Ouns El Harzli, Bernardo Cuenca Grau, Guillermo Valle Perez et al.

A Bayesian Approach to OOD Robustness in Image Classification

Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille

Unmasking Vulnerabilities: Cardinality Sketches under Adaptive Inputs

Sara Ahmadian, Edith Cohen

Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation

Fuli Wan, Han Zhao, Xu Yang et al.

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants

Shanli Tan, Hao Cheng, Xiaohu Wu et al.

UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation

Ruicong Liu, Feng Lu

Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow

Hanyu Zhou, Yi Chang, Haoyue Liu et al.

IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs

Yuzhen Mao, Martin Ester, Ke Li

Partial Label Learning with a Partner

Chongjie Si, Zekun Jiang, Xuehui Wang et al.

A differentiable brain simulator bridging brain simulation and brain-inspired computing

Chaoming Wang, Tianqiu Zhang, Sichao He et al.

Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks

Sung Moon Ko, Sumin Lee, Dae-Woong Jeong et al.

FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos

Florian Langer, Jihong Ju, Georgi Dikov et al.

Provably Efficient CVaR RL in Low-rank MDPs

Yulai Zhao, Wenhao Zhan, Xiaoyan Hu et al.

Unsupervised Object Interaction Learning with Counterfactual Dynamics Models

Jongwook Choi, Sungtae Lee, Xinyu Wang et al.

Time Fairness in Online Knapsack Problems

Adam Lechowicz, Rik Sengupta, Bo Sun et al.

Two-Stage Active Learning for Efficient Temporal Action Segmentation

Yuhao Su, Ehsan Elhamifar

Watching it in Dark: A Target-aware Representation Learning Framework for High-Level Vision Tasks in Low Illumination

Yunan LI, Yihao Zhang, Shoude Li et al.

Flexible Depth Completion for Sparse and Varying Point Densities

Jinhyung Park, Yu-Jhe Li, Kris Kitani

Noise-assisted Prompt Learning for Image Forgery Detection and Localization

Dong Li, Jiaying Zhu, Xueyang Fu et al.

PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning

Tianmeng Hu, Biao Luo

Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning

Mirco Mutti, Riccardo De Santi, Marcello Restelli et al.

Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds

Zhimin Yuan, Wankang Zeng, Yanfei Su et al.

Edge-Guided Fusion and Motion Augmentation for Event-Image Stereo

Fengan Zhao, Qianang Zhou, Junlin Xiong

Consistent algorithms for multi-label classification with macro-at-$k$ metrics

Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch et al.

ADMap: Anti-disturbance Framework for Vectorized HD Map Construction

Haotian Hu, Fanyi Wang, Yaonong Wang et al.

Multi-View Representation is What You Need for Point-Cloud Pre-Training

Siming Yan, Chen Song, Youkang Kong et al.

Scene-aware Human Motion Forecasting via Mutual Distance Prediction

Chaoyue Xing, Wei Mao, Miaomiao LIU

Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling

Olaf Dünkel, Tim Salzmann, Florian Pfaff

Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions

Yihao Ai, Yifei Qi, Bo Wang et al.

Entropy Coding of Unordered Data Structures

Julius Kunze, Daniel Severo, giulio zani et al.

Test-Time Stain Adaptation with Diffusion Models for Histopathology Image Classification

Cheng-Chang Tsai, Yuan-Chih Chen, Chun-Shien Lu

Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks

Changwoo Lee, Hun-Seok Kim

MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks

Elad Hirsch, Gefen Dawidowicz, Ayellet Tal

Conditional Variational Diffusion Models

Gabriel della Maggiora, Luis A. Croquevielle, Nikita Deshpande et al.

Viewpoint textual inversion: discovering scene representations and 3D view control in 2D diffusion models

James Burgess, Kuan-Chieh Wang, Serena Yeung-Levy

Spatial Voting with Incomplete Voter Information

Aviram Imber, Jonas Israel, Markus Brill et al.

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems

Qingsong Wang, Zehui Liu, Chunfeng Cui et al.

Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection

Kwanyong Park, Kuniaki Saito, Donghyun Kim

AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation

Ri-Zhao Qiu, Yu-Xiong Wang, Kris Hauser

Learning to Enhance Aperture Phasor Field for Non-Line-of-Sight Imaging

In Cho, Hyunbo Shim, Seon Joo Kim

United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit

Uri Stern, Daniel Shwartz, Daphna Weinshall

A General Framework for Sequential Decision-Making under Adaptivity Constraints

Nuoya Xiong, Zhaoran Wang, Zhuoran Yang

Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach

Taolin Zhang, Jiawang Bai, Zhihe Lu et al.

GenQ: Quantization in Low Data Regimes with Generative Synthetic Data

YUHANG LI, Youngeun Kim, Donghyun Lee et al.

TRAM: Bridging Trust Regions and Sharpness Aware Minimization

Tom Sherborne, Naomi Saphra, Pradeep Dasigi et al.

The Curse of Diversity in Ensemble-Based Exploration

Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin et al.

E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation

Peijun Bao, Zihao Shao, Wenhan Yang et al.

Contextual Bandits with Online Neural Regression

Rohan Deb, Yikun Ban, Shiliang Zuo et al.

SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images

josh myers-dean, Jarek T Reynolds, Brian Price et al.

Adversarially Balanced Representation for Continuous Treatment Effect Estimation

Amirreza Kazemi, Martin Ester

REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes

David Ireland, Giovanni Montana

LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks

Jianlang Chen, Xuhong Ren, Qing Guo et al.

Six-Point Method for Multi-Camera Systems with Reduced Solution Space

Banglei Guan, Ji Zhao, Laurent Kneip

De-confounded Gaze Estimation

Ziyang Liang, Yiwei Bao, Feng Lu

MAP-ADAPT: Real-Time Quality-Adaptive Semantic 3D Maps

Jianhao Zheng, Daniel Barath, Marc Pollefeys et al.

Explaining Kernel Clustering via Decision Trees

Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar

DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement

Qimin Chen, Zhiqin Chen, Vladimir Kim et al.

Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks

Federico Errica, Mathias Niepert

Finding Interpretable Class-Specific Patterns through Efficient Neural Search

Nils Philipp Walter, Jonas Fischer, Jilles Vreeken

Linear-Time Verification of Data-Aware Processes Modulo Theories via Covers and Automata

Alessandro Gianola, Marco Montali, Sarah Winkler

RRL: Recommendation Reverse Learning

Xiaoyu You, Jianwei Xu, Mi Zhang et al.

Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture

Xuanchen Li, Yuhao Cheng, Xingyu Ren et al.

Expressivity of ReLU-Networks under Convex Relaxations

Maximilian Baader, Mark N Müller, Yuhao Mao et al.

Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches

Lingxuan Wu, Xiao Yang, Yinpeng Dong et al.

Generating Pragmatic Examples to Train Neural Program Synthesizers

Saujas Vaduguru, Daniel Fried, Yewen Pu

Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer

Xingyu Liu, Deepak Pathak, DING ZHAO

From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction

Yanbang Wang, Jon Kleinberg

AlignZeg: Mitigating Objective Misalignment for Zero-shot Semantic Segmentation

Jiannan Ge, Lingxi Xie, Hongtao Xie et al.

STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning

Hao CHENG, SIYUAN YANG, Chong Wang et al.

Koopman-based generalization bound: New aspect for full-rank weights

Yuka Hashimoto, Sho Sonoda, Isao Ishikawa et al.

PRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation

Renjie Lu, Jing-Ke Meng, WEISHI ZHENG

A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models

Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami et al.

MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo

Ashish Tiwari, Satoshi Ikehata, Shanmuganathan Raman

UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework

Tarun Kalluri, Sreyas Ravichandran, Manmohan Chandraker

Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation

Jianliang He, Han Zhong, Zhuoran Yang

ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion

Sungmin Woo, Wonjoon Lee, Woo Jin Kim et al.

Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models

Tianjian Li, Haoran Xu, Philipp Koehn et al.

DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception

Kai Jiang, Jiaxing Huang, Weiying Xie et al.

Adversarial Imitation Learning via Boosting

Jonathan Chang, Dhruv Sreenivas, Yingbing Huang et al.

Better Regression Makes Better Test-time Adaptive 3D Object Detection

Jiakang Yuan, Bo Zhang, Kaixiong Gong et al.

VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition

Ahmad Khaliq, Ming Xu, Stephen Hausler et al.

Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants

Peter Richtarik, Elnur Gasanov, Konstantin Burlachenko

ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers

Junjie Oscar Yin, Yingheng Wang, Volodymyr Kuleshov et al.

Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution

Mridul Khurana, Arka Daw, M. Maruf et al.

Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers

Ekaterina Grishina, Mikhail Gorbunov, Maxim Rakhuba

Statistically Optimal $K$-means Clustering via Nonnegative Low-rank Semidefinite Programming

Yubo Zhuang, Xiaohui Chen, Yun Yang et al.

Augmenting Transformers with Recursively Composed Multi-grained Representations

Xiang Hu, Qingyang Zhu, Kewei Tu et al.

Bayesian Exploration of Pre-trained Models for Low-shot Image Classification

Yibo Miao, Yu lei, Feng Zhou et al.