Most Cited 2024 "bias mitigation techniques" Papers
12,324 papers found • Page 56 of 62
Conference
ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing
Yi Dong, Yuxi Wang, Ruoxi Fan et al.
Using Symmetries to Lift Satisfiability Checking
Pierre Carbonnelle, Gottfried Schenner, Maurice Bruynooghe et al.
Label Attentive Distillation for GNN-Based Graph Classification
Xiaobin Hong, Wenzhong Li, Chaoqun Wang et al.
Rethinking Multi-Scale Representations in Deep Deraining Transformer
Hongming Chen, Xiang Chen, Jiyang Lu et al.
Faster Approximation of Probabilistic and Distributional Values via Least Squares
Weida Li, Yaoliang Yu
Differentiable Auxiliary Learning for Sketch Re-identification
Xingyu Liu, Xu Cheng, Haoyu Chen et al.
Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model
Hanni Cheng, Ya Cong, Weihao Jiang et al.
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation
Zhengqin Xu, Yulun Zhang, Chao Ma et al.
Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification
Yingfan Ma, Xiaoyuan Luo, Kexue Fu et al.
Dynamic Discounted Counterfactual Regret Minimization
Hang Xu, Kai Li, Haobo Fu et al.
Graphical Multioutput Gaussian Process with Attention
Yijue Dai, Wenzhong Yan, Feng Yin
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning
Jingtao Li, Xing Chen, Li Yang et al.
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Anirudh Buvanesh, Rahul Chand, Jatin Prakash et al.
Reward Design for Justifiable Sequential Decision-Making
Aleksa Sukovic, Goran Radanovic
Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems
Orren Karniol-Tambour, David Zoltowski, E. Mika Diamanti et al.
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding
Yuanhao Xiong, Long Zhao, Boqing Gong et al.
Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
Bhaskar Mukhoty, Hilal AlQuabeh, Giulia De Masi et al.
Which Is More Effective in Label Noise Cleaning, Correction or Filtering?
Gaoxia Jiang, Jia Zhang, Xuefei Bai et al.
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
Xu Cai, Jonathan Scarlett
Structural Fairness-aware Active Learning for Graph Neural Networks
Haoyu Han, Xiaorui Liu, Li Ma et al.
Language Model Detectors Are Easily Optimized Against
Charlotte Nicks, Eric Mitchell, Rafael Rafailov et al.
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
Xiong Zhou, Xianming Liu, feilong zhang et al.
Neural Field Classifiers via Target Encoding and Classification Loss
Xindi Yang, Zeke Xie, Xiong Zhou et al.
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
Xiong Zhou, Xianming Liu, Hao Yu et al.
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution
Shanqi Liu, Dong Xing, Pengjie Gu et al.
Pseudo-Labelling Should Be Aware of Disguising Channel Activations
Changrui Chen, Kurt Debattista, Jungong Han
An improved analysis of per-sample and per-update clipping in federated learning
Bo Li, Xiaowen Jiang, Mikkel N. Schmidt et al.
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations
Ofir Shifman, Yair Weiss
Numerical Accounting in the Shuffle Model of Differential Privacy
Antti Koskela, Antti Honkela, Mikko Heikkilä
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
Ruiquan Huang, Yuan Cheng, Jing Yang et al.
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu et al.
Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping
Enming Liang, Minghua Chen
The mechanistic basis of data dependence and abrupt learning in an in-context classification task
Gautam Reddy Nallamala
SEDiff: Structure Extraction for Domain Adaptive Depth Estimation via Denoising Diffusion Models
Dongseok Shim, Hyoun Jin Kim
Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset
Huigen Ye, Hua Xu, Hongyan Wang
IAM-VFI : Interpolate Any Motion for Video Frame Interpolation with motion complexity map
Kihwan Yoon, Yong Han Kim, Sungjei Kim et al.
Real-data-driven 2000 FPS Color Video from Mosaicked Chromatic Spikes
Siqi Yang, Zhaojun Huang, Yakun Chang et al.
KeypointDETR: An End-to-End 3D Keypoint Detector
Hairong Jin, Yuefan Shen, Jianwen Lou et al.
Test-time Adaptation against Multi-modal Reliability Bias
Mouxing Yang, Yunfan Li, Changqing Zhang et al.
Rethinking Fast Adversarial Training: A Splitting Technique To Overcome Catastrophic Overfitting
Masoumeh Zareapoor, Pourya Shamsolmoali
IVTP: Instruction-guided Visual Token Pruning for Large Vision-Language Models
Kai Huang, Hao Zou, Ye Xi et al.
Unsupervised Order Learning
Seon-Ho Lee, Nyeong-Ho Shin, Chang-Su Kim
Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation
Zhiyu Zhu, Xinyi Wang, Zhibo Jin et al.
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
Ge Yan, Hongxu Chen, Kaisen Pan et al.
When and How do negative prompts take effect?
Yuanhao Ban, Ruochen Wang, Tianyi Zhou et al.
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou et al.
BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
Yaoming Wang, Li Jin, XIAOPENG ZHANG et al.
Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers
Yizhou Jiang, Kunlin Hu, Tianren Zhang et al.
Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects
Aming Wu, Cheng Deng
Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders
Emanuele Palumbo, Laura Manduchi, Sonia Laguna et al.
Shapefusion: 3D localized human diffusion models
Rolandos Alexandros Potamias, Michael Tarasiou, Stylianos Ploumpis et al.
AlpaGasus: Training a Better Alpaca with Fewer Data
Lichang Chen, Shiyang Li, Jun Yan et al.
What does automatic differentiation compute for neural networks?
Sejun Park, Sanghyuk Chun, Wonyeol Lee
Out-of-Distribution Detection with Negative Prompts
Jun Nie, Yonggang Zhang, Zhen Fang et al.
A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER
Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen et al.
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems
Ziyang Xiao, Dongxiang Zhang, Yangjun Wu et al.
Revisiting Domain-Adaptive Object Detection in Adverse Weather by the Generation and Composition of High-Quality Pseudo-Labels
Rui Zhao, Huibin Yan, Shuoyao Wang
A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
Huan He, Yijie Hao, Yuanzhe Xi et al.
Mitigating Emergent Robustness Degradation while Scaling Graph Learning
Xiangchi Yuan, Chunhui Zhang, Yijun Tian et al.
Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks
Weizhi An, Wenliang Zhong, Feng Jiang et al.
VQ-TR: Vector Quantized Attention for Time Series Forecasting
Kashif Rasul, Andrew Bennett, Pablo Vicente et al.
Aligning Relational Learning with Lipschitz Fairness
Yaning Jia, Chunhui Zhang, Soroush Vosoughi
Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation
Shahar Lutati, Eliya Nachmani, Lior Wolf
The Expressive Power of Transformers with Chain of Thought
William Merrill, Ashish Sabharwal
Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features
Xiong Xu, Kunzhe Huang, Yiming Li et al.
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
Eduardo Dadalto Câmara Gomes, Marco Romanelli, Georg Pichler et al.
Hypergraph Dynamic System
Jielong Yan, Yifan Feng, Shihui Ying et al.
Norma: A Noise Robust Memory-Augmented Framework for Whole Slide Image Classification
Yu Bai, Bo Zhang, Zheng Zhang et al.
SPDER: Semiperiodic Damping-Enabled Object Representation
Kathan Shah, Chawin Sitawarin
DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks
Maryam Toloubidokhti, Yubo Ye, Ryan Missel et al.
Efficient Frequency-Domain Image Deraining with Contrastive Regularization
Ning Gao, xingyu jiang, Xiuhui Zhang et al.
L2P-MIP: Learning to Presolve for Mixed Integer Programming
Chang Liu, Zhichen Dong, Haobo Ma et al.
Video Decomposition Prior: Editing Videos Layer by Layer
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
Xinzhe Yuan, William de Vazelhes, Bin Gu et al.
uCAP: An Unsupervised Prompting Method for Vision-Language Models
A. Tuan Nguyen, Kai Sheng Tai, Bor-Chun Chen et al.
Unsupervised Dense Prediction using Differentiable Normalized Cuts
Yanbin Liu, Stephen Gould
Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity
Tomoya Murata, Kenta Niwa, Takumi Fukami et al.
Optimal transport based adversarial patch to leverage large scale attack transferability
Pol Labarbarie, Adrien CHAN-HON-TONG, Stéphane Herbin et al.
Orbit-Equivariant Graph Neural Networks
Matthew Morris, Bernardo Grau, Ian Horrocks
Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification
Aditya Chattopadhyay, Kwan Ho Ryan Chan, Rene Vidal
More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
James Simon, Dhruva Karkada, Nikhil Ghosh et al.
Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data
Xiaofan Que, Qi Yu
SpeedUpNet: A Plug-and-Play Adapter Network for Accelerating Text-to-Image Diffusion Models
Weilong Chai, Dandan Zheng, Jiajiong Cao et al.
PoseSOR: Human Pose Can Guide Our Attention
Huankang Guan, Rynson W.H. Lau
KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement
Zhangyang Gao, Cheng Tan, Xingran Chen et al.
Efficient Continual Finite-Sum Minimization
Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Dadi et al.
Federated Learning with Local Openset Noisy Labels
Zonglin Di, Zhaowei Zhu, Xiaoxiao Li et al.
Rethinking Data Bias: Dataset Copyright Protection via Embedding Class-wise Hidden Bias
Jinhyeok Jang, ByungOk Han, Jaehong Kim et al.
Learning model uncertainty as variance-minimizing instance weights
Nishant Jain, Karthikeyan Shanmugam, Pradeep Shenoy
Elysium: Exploring Object-level Perception in Videos through Semantic Integration Using MLLMs
Han Wang, Yanjie Wang, Ye Yongjie et al.
Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning
Maxime Wabartha, Joelle Pineau
Visual Relationship Transformation
Xiaoyu Xu, Jiayan Qiu, Baosheng Yu et al.
Learning Polynomial Problems with $SL(2, \mathbb{R})$-Equivariance
Hannah Lawrence, Mitchell Harris
IGNORE: Information Gap-based False Negative Loss Rejection for Single Positive Multi-Label Learning
Gyeong Ryeol Song, Noo-ri Kim, Jin-Seop Lee et al.
Long-tailed Diffusion Models with Oriented Calibration
Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao et al.
Self-Supervised Underwater Caustics Removal and Descattering via Deep Monocular SLAM
Jonathan Sauder, Devis TUIA
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace
Xinyu Yang, Victor Weixin Liang, James Y Zou
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment
Sergei Solonets, Daniil Sinitsyn, Lukas Von Stumberg et al.
Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing
Guanghao Zheng, Yuchen Liu, Wenrui Dai et al.
Sample-Efficient Quality-Diversity by Cooperative Coevolution
Ke Xue, Ren-Jian Wang, Pengyi Li et al.
Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis
Jaein Kim, HEE BIN YOO, Dong-Sig Han et al.
Parsing neural dynamics with infinite recurrent switching linear dynamical systems
Victor Geadah, International Brain Laboratory, Jonathan Pillow
DSA: Discriminative Scatter Analysis for Early Smoke Segmentation
Lujian Yao, Haitao Zhao, Jingchao Peng et al.
MAP IT to Visualize Representations
Robert Jenssen
Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
Sheng Li, Chao Wu, Ao Li et al.
Enhanced Motion Forecasting with Visual Relation Reasoning
Sungjune Kim, Hadam Baek, Seunggwan Lee et al.
Grid-Attention: Enhancing Computational Efficiency of Large Vision Models without Fine-Tuning
Pengyu Li, Biao Wang, Tianchu Guo et al.
Language Modeling Is Compression
Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne et al.
COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
Anne Harrington, Vasha DuTell, Mark Hamilton et al.
Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs
Qihan Ren, Jiayang Gao, Wen Shen et al.
Enhanced Face Recognition using Intra-class Incoherence Constraint
Yuanqing Huang, Yinggui Wang, Le Yang et al.
Global Optimality for Non-linear Constrained Restoration Problems via Invexity
Samuel Pinilla, Jeyan Thiyagalingam
Learning to reconstruct signals from binary measurements alone
Laurent Jacques, Julián Tachella
A Geometric Distortion Immunized Deep Watermarking Framework with Robustness Generalizability
Linfeng Ma, Han Fang, Tianyi Wei et al.
$\pi$2vec: Policy Representation with Successor Features
Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci et al.
Optimistic Bayesian Optimization with Unknown Constraints
Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song et al.
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
Zhanke Zhou, Yongqi Zhang, Jiangchao Yao et al.
Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action Segmentation
Haoyu Ji, Bowen Chen, Xinglong Xu et al.
A Branching Decoder for Set Generation
Zixian Huang, Gengyang Xiao, Yu Gu et al.
Clean & Compact: Efficient Data-Free Backdoor Defense with Model Compactness
Huy Phan, Jinqi Xiao, Yang Sui et al.
Functional Transform-Based Low-Rank Tensor Factorization for Multi-Dimensional Data Recovery
Jian-Li Wang, Xi-Le Zhao
Improving Vision and Language Concepts Understanding with Multimodal Counterfactual Samples
Chengen Lai, Shengli Song, Sitong Yan et al.
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
Zhenting Wang, Chen Chen, Lingjuan Lyu et al.
Object centric architectures enable efficient causal representation learning
Amin Mansouri, Jason Hartford, Yan Zhang et al.
TurboEdit: Real-time text-based disentangled real image editing
Zongze Wu, Nicholas I Kolkin, Jonathan Brandt et al.
Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models
Gen Li, Yuting Wei, Yuxin Chen et al.
Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency
Stone Tao, Arth Shukla, Tse-kai Chan et al.
Modeling Label Correlations with Latent Context for Multi-Label Recognition
Zhao-Min Chen, Quan Cui, Ruoxi Deng et al.
Unsupervised Moving Object Segmentation with Atmospheric Turbulence
Dehao Qin, Ripon Saha, Woojeh Chung et al.
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
Ling Yang, Zhilong Zhang, Zhaochen Yu et al.
Open-Vocabulary RGB-Thermal Semantic Segmentation
Guoqiang Zhao, JunJie Huang, Xiaoyun Yan et al.
A Linear Algebraic Framework for Counterfactual Generation
Jong-Hoon Ahn, Akshay Vashist
Learning to Reject Meets Long-tail Learning
Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum et al.
Faithful Rule Extraction for Differentiable Rule Learning Models
Xiaxia Wang, David Jaime Tena Cucala, Bernardo Grau et al.
ExMatch: Self-guided Exploitation for Semi-Supervised Learning with Scarce Labeled Samples
Noo-ri Kim, Jin-Seop Lee, Jee-Hyong LEE
Confidential-DPproof: Confidential Proof of Differentially Private Training
Ali Shahin Shamsabadi, Gefei Tan, Tudor Cebere et al.
A Hierarchical Bayesian Model for Few-Shot Meta Learning
Minyoung Kim, Timothy Hospedales
Domain Reduction Strategy for Non-Line-of-Sight Imaging
Hyunbo Shim, In Cho, Daekyu Kwon et al.
Weakly-Supervised Spatio-Temporal Video Grounding with Variational Cross-Modal Alignment
Yang Jin, Yadong Mu
Uncertainty-Driven Spectral Compressive Imaging with Spatial-Frequency Transformer
Lintao Peng, Siyu Xie, Liheng Bian
V-Trans4Style: Visual Transition Recommendation for Video Production Style Adaptation
Pooja Guhan, Tsung-Wei Huang, Guan-Ming Su et al.
Hierarchically Structured Neural Bones for Reconstructing Animatable Objects from Casual Videos
Subin Jeon, In Cho, Minsu Kim et al.
Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers
Oren Mangoubi, Nisheeth Vishnoi
A 2-Dimensional State Space Layer for Spatial Inductive Bias
Ethan Baron, Itamar Zimerman, Lior Wolf
High-dimensional SGD aligns with emerging outlier eigenspaces
Gerard Ben Arous, Reza Gheissari, Jiaoyang Huang et al.
Dynamic Neural Response Tuning
Tian Qiu, Xu Wenxiang, lin chen et al.
AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference
Xuanlei Zhao, Shenggan Cheng, Guangyang LU et al.
On the Approximation Risk of Few-Shot Class-Incremental Learning
Xuan Wang, Zhong Ji, Xiyao Liu et al.
CellPLM: Pre-training of Cell Language Model Beyond Single Cells
Hongzhi Wen, Wenzhuo Tang, Xinnan Dai et al.
MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning
S Chandra Mouli, Muhammad Alam, Bruno Ribeiro
Counting Graph Substructures with Graph Neural Networks
Charilaos Kanatsoulis, Alejandro Ribeiro
Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
Discovering Unwritten Visual Classifiers with Large Language Models
Mia Chiquier, Utkarsh Mall, Carl Vondrick
Learn to Optimize Denoising Scores: A Unified and Improved Diffusion Prior for 3D Generation
Xiaofeng Yang, Yiwen Chen, Cheng Chen et al.
Learning Quantized Adaptive Conditions for Diffusion Models
Yuchen Liang, Yuchuan Tian, Lei Yu et al.
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
Zhilin Huang, Ling Yang, Xiangxin Zhou et al.
Holistic Evaluation of Language Models
Jue Wang, Lucia Zheng, Nathan Kim et al.
A Unified Image Compression Method for Human Perception and Multiple Vision Tasks
Sha Guo, Sui Lin, Chen-Lin Zhang et al.
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
Anshuman Chhabra, Peizhao Li, Prasant Mohapatra et al.
Echoes of the Past: Boosting Long-tail Recognition via Reflective Learning
Qihao Zhao, YALUN DAI, Shen Lin et al.
APL: Anchor-based Prompt Learning for One-stage Weakly Supervised Referring Expression Comprehension
Yaxin Luo, Jiayi Ji, Xiaofu Chen et al.
DAM: Towards a Foundation Model for Forecasting
Luke Darlow, Qiwen Deng, Ahmed Hassan et al.
Structured-NeRF: Hierarchical Scene Graph with Neural Representation
Zhide Zhong, Jiakai Cao, songen gu et al.
Future Language Modeling from Temporal Document History
Changmao Li, Jeffrey Flanigan
How Does Goal Relabeling Improve Sample Efficiency?
Sirui Zheng, Chenjia Bai, Zhuoran Yang et al.
Interaction-centric Spatio-Temporal Context Reasoning for Multi-Person Video HOI Recognition
Yisong Wang, Nan Xi, Jingjing Meng et al.
The False Promise of Imitating Proprietary Language Models
Arnav Gudibande, Eric Wallace, Charlie Snell et al.
Learning From Simplicial Data Based on Random Walks and 1D Convolutions
Florian Frantzen, Michael Schaub
Domesticating SAM for Breast Ultrasound Image Segmentation via Spatial-frequency Fusion and Uncertainty Correction
Wanting Zhang, Huisi Wu, Jing Qin
Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling
Zehao Dou, Minshuo Chen, Mengdi Wang et al.
Towards Transparent Time Series Forecasting
Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention
Renrui Zhang, Jiaming Han, Chris Liu et al.
Rethinking Weakly-supervised Video Temporal Grounding From a Game Perspective
Xiang Fang, Zeyu Xiong, Wanlong Fang et al.
COIN-Matting: Confounder Intervention for Image Matting
Zhaohe Liao, Jiangtong Li, Jun Lan et al.
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
Donggyu Lee, Sangwon Jung, Taesup Moon
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
Shiqiang Wang, Mingyue Ji
Data Debugging with Shapley Importance over Machine Learning Pipelines
Bojan Karlaš, David Dao, Matteo Interlandi et al.
Idea2Img: Iterative Self-Refinement with GPT-4V for Automatic Image Design and Generation
Zhengyuan Yang, Jianfeng Wang, Linjie Li et al.
Empirical Likelihood for Fair Classification
Pangpang Liu, Yichuan Zhao
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
Shuo He, Chaojie Wang, Guowu Yang et al.
Kernelised Normalising Flows
Eshant English, Matthias Kirchler, Christoph Lippert
Nymeria: A Massive Collection of Egocentric Multi-modal Human Motion in the Wild
Lingni Ma, Yuting Ye, Rowan Postyeni et al.
Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models
Kevin Black, Mitsuhiko Nakamoto, Pranav Atreya et al.
Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
Suhwan Choi, Myeongho Jeon, Yeonjung Hwang et al.
VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation
Jinxi Xiang, Ricong Huang, Jun Zhang et al.
BrainLM: A foundation model for brain activity recordings
Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Syed Rizvi et al.
NeRF-XL: NeRF at Any Scale with Multi-GPU
Ruilong Li, Sanja Fidler, Angjoo Kanazawa et al.
Learning Representations from Foundation Models for Domain Generalized Stereo Matching
Yongjian Zhang, Longguang Wang, Kunhong Li et al.
Neural Polynomial Gabor Fields for Macro Motion Analysis
Chen Geng, Koven Yu, Sida Peng et al.
High-Fidelity Modeling of Generalizable Wrinkle Deformation
Jingfan Guo, Jae Shin Yoon, Shunsuke Saito et al.
Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
Jiyang Zheng, Yu Yao, Bo Han et al.
3D Hand Sequence Recovery from Real Blurry Images and Event Stream
Joonkyu Park, Gyeongsik Moon, Weipeng Xu et al.
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
Sheng Shen, Le Hou, Yanqi Zhou et al.
RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-based Continual Learning
Longrong Yang, Hanbin Zhao, Yunlong Yu et al.
On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection
Chaohua Shi, Kexin Huang, Lu Gan et al.
CAS: A Probability-Based Approach for Universal Condition Alignment Score
Chunsan Hong, ByungHee Cha, Tae-Hyun Oh
$\alpha$TC-VAE: On the relationship between Disentanglement and Diversity
Cristian Meo, Louis Mahon, Anirudh Goyal et al.
Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures
Jung-Chun Liu, Chi-Hsien Chang, Shao-Hua Sun et al.
Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
Peizhong Ju, Arnob Ghosh, Ness Shroff
Let the Avatar Talk using Texts without Paired Training Data
Xiuzhe Wu, Yang-Tian Sun, Handi Chen et al.