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Methodology
← Core Methods
Machine Learning
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Core Methods
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Metric Learning
2800 directly classified papers
Papers per year
2001: 1
2002: 1
2003: 7
2004: 7
2005: 6
2006: 14
2007: 11
2008: 10
2009: 25
2010: 21
2011: 28
2012: 35
2013: 80
2014: 54
2015: 101
2016: 85
2017: 135
2018: 154
2019: 303
2020: 257
2021: 306
2022: 290
2023: 317
2024: 242
2025: 216
2026: 94
Papers
TriSampler: A Better Negative Sampling Principle for Dense Retrieval
AAAI 2024
MGNet: Learning Correspondences via Multiple Graphs
AAAI 2024
Contrastive losses as generalized models of global epistasis
NIPS 2024
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
NIPS 2024
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning
AAAI 2024
A Fixed-Point Approach to Unified Prompt-Based Counting
AAAI 2024
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
AAAI 2024
Learning to Embed Distributions via Maximum Kernel Entropy
NIPS 2024
Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-identification
AAAI 2024
FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval
AAAI 2024
Cross-Covariate Gait Recognition: A Benchmark
AAAI 2024
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging
AAAI 2024
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
NIPS 2024
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking
AAAI 2024
Neural Embeddings for kNN Search in Biological Sequence
AAAI 2024
Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification
AAAI 2024
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
NIPS 2024
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
AAAI 2024
Understanding the Role of the Projector in Knowledge Distillation
AAAI 2024
Towards a General-Purpose Model of Perceived Pragmatic Similarity
INTERSPEECH 2024
Disentangling Age and Identity with a Mutual Information Minimization for Cross-Age Speaker Verification
INTERSPEECH 2024
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models
EACL 2024
Your contrastive learning problem is secretly a distribution alignment problem
NIPS 2024
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users
COLING 2024
Distributed Manifold Hashing for Image Set Classification and Retrieval
AAAI 2024
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