Understanding the Behaviour of Contrastive Loss

15 December 2020

Papers citing "Understanding the Behaviour of Contrastive Loss"

50 / 308 papers shown

Title
A Debiased Nearest Neighbors Framework for Multi-Label Text Classification Zifeng Cheng Zhiwei Jiang Yafeng Yin Zhaoling Chen Cong Wang Shiping Ge Qiguo Huang Qing Gu 34 0 0 06 Aug 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 51 0 0 22 Jul 2024
From Real to Cloned Singer Identification Dorian Desblancs Gabriel Meseguer-Brocal Romain Hennequin Manuel Moussallam 42 0 0 11 Jul 2024
MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models Jin Xie Songze Li FedML 31 0 0 04 Jul 2024
ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment Ziyan Wang Zhankun Xiong Feng Huang Xuan Liu Wen Zhang 36 3 0 01 Jul 2024
InfoNCE: Identifying the Gap Between Theory and Practice E. Rusak Patrik Reizinger Attila Juhos Oliver Bringmann Roland S. Zimmermann Wieland Brendel 33 5 0 28 Jun 2024
Contrastive General Graph Matching with Adaptive Augmentation Sampling Jianyuan Bo Yuan Fang 21 1 0 25 Jun 2024
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective Yunfei Liu Jintang Li Yuehe Chen Ruofan Wu Ericbk Wang ... Shuheng Shen Xing Fu Changhua Meng Weiqiang Wang Liang Chen 27 9 0 20 Jun 2024
Towards a multimodal framework for remote sensing image change retrieval and captioning Roger Ferrod Luigi Di Caro Dino Ienco 24 2 0 19 Jun 2024
Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations? Mark Ibrahim David Klindt Randall Balestriero SSL 56 2 1 15 Jun 2024
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback Ilgee Hong Zichong Li Alexander Bukharin Yixiao Li Haoming Jiang Tianbao Yang Tuo Zhao 29 4 0 04 Jun 2024
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference S. Park Hyuk Kwon Kwanghoon Sohn Kibok Lee OffRL 31 0 0 31 May 2024
Jina CLIP: Your CLIP Model Is Also Your Text Retriever Andreas Koukounas Georgios Mastrapas Michael Gunther Bo Wang Scott Martens ... Saahil Ognawala Susana Guzman Maximilian Werk Nan Wang Han Xiao VLM 25 15 0 30 May 2024
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses Panagiotis Koromilas Giorgos Bouritsas Theodoros Giannakopoulos M. Nicolaou Yannis Panagakis 32 0 0 28 May 2024
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction Zhonghang Li Lianghao Xia Yong-mei Xu Chao Huang OOD AI4TS 42 11 0 28 May 2024
Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks Yunqi Zhang Songda Li Chunyuan Deng Luyi Wang Hui Zhao 31 0 0 27 May 2024
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere H. Li Ouyang Cheng Tamaz Amiranashvili Matthew S. Rosen Bjoern H. Menze J. Iglesias 41 0 0 26 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond Wei Ju Yifan Wang Yifang Qin Zhengyan Mao Zhiping Xiao ... Dongjie Wang Qingqing Long Siyu Yi Xiao Luo Ming Zhang 59 12 0 20 May 2024
FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering Silan Hu Xiaoning Wang AI4Ed 35 3 0 06 May 2024
A Self-explaining Neural Architecture for Generalizable Concept Learning Sanchit Sinha Guangzhi Xiong Aidong Zhang 27 1 0 01 May 2024
Certification of Speaker Recognition Models to Additive Perturbations Dmitrii Korzh Elvir Karimov Mikhail Aleksandrovich Pautov Oleg Y. Rogov Ivan V. Oseledets 50 1 0 29 Apr 2024
DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting Jer Pelhan A. Lukežič Vitjan Zavrtanik Matej Kristan 38 16 0 25 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
Know Yourself Better: Diverse Discriminative Feature Learning Improves Open Set Recognition Jiawen Xu 26 0 0 16 Apr 2024
Backdoor Contrastive Learning via Bi-level Trigger Optimization Weiyu Sun Xinyu Zhang Hao Lu Ying Chen Ting Wang Jinghui Chen Lu Lin 34 6 0 11 Apr 2024
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO Zi-Hao Qiu Siqi Guo Mao Xu Tuo Zhao Lijun Zhang Tianbao Yang AI4TS AI4CE 42 2 0 06 Apr 2024
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach Qing Liu Sheng Sun Yuxuan Liang Jingjing Xue Min Liu AI4TS 32 2 0 04 Apr 2024
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data Xinting Liao Weiming Liu Chaochao Chen Pengyang Zhou Fengyuan Yu Huabin Zhu Binhui Yao Tao Wang Xiaolin Zheng Yanchao Tan FedML 43 7 0 25 Mar 2024
Self-Supervised Backbone Framework for Diverse Agricultural Vision Tasks Sudhir Sornapudi Rajhans Singh Corteva Agriscience SSL 25 1 0 22 Mar 2024
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation Shaowei Wei Zhengwei Wu Xin Li Qintong Wu Zhiqiang Zhang Jun Zhou Lihong Gu Jinjie Gu 37 3 0 22 Mar 2024
Weak Supervision with Arbitrary Single Frame for Micro- and Macro-expression Spotting Wang-Wang Yu Xian-Shi Zhang Fuya Luo Yijun Cao Kai-Fu Yang Hong-Mei Yan Yong-Jie Li 34 1 0 21 Mar 2024
Improving Medical Multi-modal Contrastive Learning with Expert Annotations Yogesh Kumar Pekka Marttinen MedIm VLM 31 10 0 15 Mar 2024
Lifelong Person Re-Identification with Backward-Compatibility Minyoung Oh Jae-Young Sim 27 2 0 15 Mar 2024
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains Lei Wang Jieming Bian Letian Zhang C. L. P. Chen Jie Xu 29 7 0 14 Mar 2024
When can we Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis? Gautham Govind Anil P. Esser D. Ghoshdastidar 34 1 0 13 Mar 2024
Partial Federated Learning Tiantian Feng Anil Ramakrishna Jimit Majmudar Charith Peris Jixuan Wang Clement Chung Richard Zemel Morteza Ziyadi Rahul Gupta 36 1 0 03 Mar 2024
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses Weihao Zeng Keqing He Yejie Wang Dayuan Fu Weiran Xu 33 0 0 02 Mar 2024
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications Zhen Yang Ming Ding Tinglin Huang Yukuo Cen Junshuai Song Bin Xu Yuxiao Dong Jie Tang 33 9 0 27 Feb 2024
Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Arka Pal Deep Karkhanis Samuel Dooley Manley Roberts Siddartha Naidu Colin White OSLM 36 125 0 20 Feb 2024
Analysis of Using Sigmoid Loss for Contrastive Learning Chungpa Lee Joonhwan Chang Jy-yong Sohn 48 2 0 20 Feb 2024
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering Peijie Sun Le Wu Kun Zhang Xiangzhi Chen Mengdi Wang 26 20 0 18 Feb 2024
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image Analysis Charulkumar Chodvadiya Navyansh Mahla Kinshuk Gaurav Singh Kshitij S. Jadhav 21 0 0 13 Feb 2024
Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows Evan D. Cook Marc-Antoine Lavoie Steven L. Waslander OODD 17 2 0 09 Feb 2024
Learning Contrastive Feature Representations for Facial Action Unit Detection Ziqiao Shang Bin Liu Fengmao Lv Fei Teng Tian-Jie Li 43 1 0 09 Feb 2024
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning Yixiang Shan Zhengbang Zhu Ting Long Qifan Liang Yi-Ju Chang Weinan Zhang Liang Yin OffRL 39 1 0 05 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu Dong Gong Shuo Wang Jason Xue Lina Yao Kristen Moore OODD 55 22 0 05 Feb 2024
Deep Clustering with Diffused Sampling and Hardness-aware Self-distillation Hai-Xin Zhang Dong Huang 27 0 0 25 Jan 2024
Double-Bounded Optimal Transport for Advanced Clustering and Classification Liangliang Shi Zhaoqi Shen Junchi Yan OT 27 2 0 21 Jan 2024
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing Jaeill Kim Duhun Hwang Eunjung Lee Jangwon Suh Jimyeong Kim Wonjong Rhee 30 0 0 11 Jan 2024
Singer Identity Representation Learning using Self-Supervised Techniques Bernardo Torres Stefan Lattner Gaël Richard SSL 35 8 0 10 Jan 2024