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Methodology
← Core Methods
Machine Learning
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Core Methods
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Representation Learning
18863 directly classified papers
Papers per year
2000: 2
2001: 4
2002: 2
2003: 18
2004: 4
2005: 9
2006: 62
2007: 61
2008: 74
2009: 73
2010: 96
2011: 103
2012: 131
2013: 283
2014: 255
2015: 295
2016: 426
2017: 691
2018: 1066
2019: 1798
2020: 1830
2021: 2207
2022: 2109
2023: 2560
2024: 2177
2025: 1926
2026: 601
Papers
PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder
ACL 2025
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
CVPR 2025
Channel Consistency Prior and Self-Reconstruction Strategy Based Unsupervised Image Deraining
CVPR 2025
Self-Retrieval from Distant Contexts for Document-Level Machine Translation
EMNLP 2025
Analyzing and Mitigating Inconsistency in Discrete Speech Tokens for Neural Codec Language Models
ACL 2025
A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models
ACL 2025
Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene
CVPR 2025
Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation
ACL 2025
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
CVPR 2025
IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification
CVPR 2025
TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction
CVPR 2025
Potential Field Based Deep Metric Learning
CVPR 2025
Overview of the BioLaySumm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology Reports
ACL 2025
Layered Image Vectorization via Semantic Simplification
CVPR 2025
Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models
ACL 2025
Hierarchical Memory Organization for Wikipedia Generation
ACL 2025
VADE: Visual Attention Guided Hallucination Detection and Elimination
ACL 2025
Noise-Resistant Video Anomaly Detection via RGB Error-Guided Multiscale Predictive Coding and Dynamic Memory
CVPR 2025
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
CVPR 2025
A Preliminary Exploration of Phrase-Based SMT and Multi-BPE Segmentations through Concatenated Tokenised Corpora for Low-Resource Indian Languages
EMNLP 2025
LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models
ACL 2025
Biological Sequence Kernels with Guaranteed Flexibility
JMLR 2025
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation
ACL 2025
On Probabilistic Embeddings in Optimal Dimension Reduction
JMLR 2025
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection
ACL 2025
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