Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

20 May 2020

Papers citing "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere"

50 / 296 papers shown

Title
GIF: Generative Inspiration for Face Recognition at Scale Saeed Ebrahimi Sahar Rahimi Ali Dabouei Srinjoy Das Jeremy M. Dawson Nasser M. Nasrabadi CVBM 138 0 0 05 May 2025
Tree-Sliced Wasserstein Distance with Nonlinear Projection T. Tran Viet-Hoang Tran Thanh T. Chu Trang Pham Laurent El Ghaoui Tam Le T. Nguyen 19 0 0 02 May 2025
Negate or Embrace: On How Misalignment Shapes Multimodal Representation Learning Yichao Cai Yuhang Liu Erdun Gao T. Jiang Zhen Zhang Anton van den Hengel J. Shi 62 0 0 14 Apr 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery Shijie Ma Fei Zhu Xu-Yao Zhang Cheng-Lin Liu 27 1 0 02 Apr 2025
Generative Modeling of Class Probability for Multi-Modal Representation Learning Jungkyoo Shin Bumsoo Kim Eunwoo Kim 50 1 0 21 Mar 2025
Spherical Tree-Sliced Wasserstein Distance Hoang V. Tran Thanh T. Chu K. Nguyen Trang Pham Tam Le T. Nguyen OT 59 3 0 14 Mar 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures Max Klabunde Tassilo Wald Tobias Schumacher Klaus H. Maier-Hein Markus Strohmaier Adriana Iamnitchi AI4TS VLM 73 5 0 13 Mar 2025
Implicit Contrastive Representation Learning with Guided Stop-gradient Byeongchan Lee Sehyun Lee SSL 89 2 0 12 Mar 2025
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models Nadarasar Bahavan Sachith Seneviratne Saman K. Halgamuge BDL 45 0 0 11 Mar 2025
ProtTeX: Structure-In-Context Reasoning and Editing of Proteins with Large Language Models Zicheng Ma Chuanliu Fan Zhicong Wang Zhenyu Chen Xiaohan Lin Y. Li Shihao Feng Jun Zhang Ziqiang Cao Y. Gao 43 0 0 11 Mar 2025
Spatial regularisation for improved accuracy and interpretability in keypoint-based registration Benjamin Billot Ramya Muthukrishnan Esra Abaci Turk Ellen Grant N. Ayache H. Delingette Polina Golland 3DPC 59 1 0 06 Mar 2025
Your contrastive learning problem is secretly a distribution alignment problem Zihao Chen Chi-Heng Lin Ran Liu Jingyun Xiao Eva L. Dyer 67 1 0 27 Feb 2025
Know You First and Be You Better: Modeling Human-Like User Simulators via Implicit Profiles Kuang Wang X. Li S. M. I. Simon X. Yang Li Zhou Feng Jiang H. Li 42 0 0 26 Feb 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning Hojoon Lee Youngdo Lee Takuma Seno Donghu Kim Peter Stone Jaegul Choo 63 1 0 24 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 95 2 0 24 Feb 2025
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment Jingcheng Deng Zhongtao Jiang Liang Pang Liwei Chen Kun Xu Zihao Wei Huawei Shen Xueqi Cheng 49 1 0 17 Feb 2025
The "Law" of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities Yongwei Che Benjamin Eysenbach 33 1 0 20 Jan 2025
Learning to Assist Humans without Inferring Rewards Vivek Myers Evan Ellis Sergey Levine Benjamin Eysenbach Anca Dragan 35 2 0 17 Jan 2025
A Framework for Mining Collectively-Behaving Bots in MMORPGs H. Kim J. Kim Jaeman Son Jihoon Song Eunjo Lee 32 0 0 15 Jan 2025
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction Jinlin Li Xiao Zhou 36 0 0 13 Jan 2025
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise Jingyi Cui Yi-Ge Zhang Hengyu Liu Yisen Wang NoLa 43 0 0 03 Jan 2025
Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations Niall McGuire Yashar Moshfeghi 29 0 0 09 Dec 2024
Breaking the Reclustering Barrier in Centroid-based Deep Clustering Lukas Miklautz Timo Klein Kevin Sidak Collin Leiber Thomas Lang Andrii Shkabrii Sebastian Tschiatschek Claudia Plant 34 0 0 04 Nov 2024
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination Md Abrar Jahin Md. Akmol Masud M. Mridha Nilanjan Dey Zeyar Aung 54 0 0 03 Nov 2024
An Information Criterion for Controlled Disentanglement of Multimodal Data Chenyu Wang Sharut Gupta Xinyi Zhang Sana Tonekaboni Stefanie Jegelka Tommi Jaakkola Caroline Uhler DRL 37 1 0 31 Oct 2024
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving Maciej K. Wozniak Hariprasath Govindarajan Marvin Klingner Camille Maurice B Ravi Kiran S. Yogamani 3DPC 47 1 0 30 Oct 2024
UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers Dehai Min Zhiyang Xu Guilin Qi Lifu Huang Chenyu You RALM 65 1 0 26 Oct 2024
CMAL: A Novel Cross-Modal Associative Learning Framework for Vision-Language Pre-Training Zhiyuan Ma Jianjun Li Guohui Li Kaiyan Huang VLM 54 9 0 16 Oct 2024
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective Yongxin Zhu B. Li Hang Zhang Xin Li Linli Xu Lidong Bing DiffM 35 9 0 16 Oct 2024
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs Yun Zhu Haizhou Shi Xiaotang Wang Yongchao Liu Yaoke Wang Boci Peng Chuntao Hong Siliang Tang VLM 43 6 0 14 Oct 2024
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data Hugo Thimonier José Lucas De Melo Costa Fabrice Popineau Arpad Rimmel Bich-Liên Doan 53 1 0 07 Oct 2024
Anchors Aweigh! Sail for Optimal Unified Multi-Modal Representations Minoh Jeong Min Namgung Zae Myung Kim Dongyeop Kang Yao-Yi Chiang Alfred Hero 25 0 0 02 Oct 2024
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks Xin Tan Meng Zhao 37 0 0 09 Sep 2024
End-to-end Semantic-centric Video-based Multimodal Affective Computing Ronghao Lin Ying Zeng Sijie Mai Haifeng Hu VGen 40 0 0 14 Aug 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao Jiancan Wu Haoyang Liu Yongduo Sui Xiang Wang OOD 37 2 0 03 Aug 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology Eric Zimmermann Eugene Vorontsov Julian Viret Adam Casson Michal Zelechowski ... Razik Yousfi Thomas J. Fuchs Nicolò Fusi Siqi Liu Kristen Severson MedIm 31 27 0 01 Aug 2024
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Liancheng Fang Philip S. Yu GNN 34 1 0 26 Jul 2024
Banyan: Improved Representation Learning with Explicit Structure Mattia Opper N. Siddharth 31 1 0 25 Jul 2024
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry Martin Lindström Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 35 0 0 10 Jul 2024
Deep Online Probability Aggregation Clustering Yuxuan Yan Na Lu Ruofan Yan 27 1 0 07 Jul 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making Vivek Myers Chongyi Zheng Anca Dragan Sergey Levine Benjamin Eysenbach OffRL 38 7 0 24 Jun 2024
Neural Lineage Runpeng Yu Xinchao Wang 26 4 0 17 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 34 0 0 14 Jun 2024
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective De Li Xianxian Li Zeming Gan Qiyu Li Bin Qu Jinyan Wang NoLa 40 1 0 11 Jun 2024
Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data? Qingkai Fang Shaolei Zhang Zhengrui Ma Min Zhang Yang Feng VLM 35 1 0 11 Jun 2024
Contrastive Learning from Synthetic Audio Doppelgängers Manuel Cherep Nikhil Singh 34 1 0 09 Jun 2024
Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank Analysis Euna Jung Jaeill Kim Jungmin Ko Jinwoo Park Wonjong Rhee 42 0 0 18 May 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning Prashant Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 40 2 0 28 Apr 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 30 1 0 23 Apr 2024
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective Wencheng Zhu Xin Zhou Pengfei Zhu Yu Wang Qinghua Hu VLM 56 1 0 22 Apr 2024