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← Core Methods
Machine Learning
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Core Methods
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Representation Learning
18,863 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
Regional-TinyStories: A Small Language Model Framework for Evaluating Language Learning, Tokenizers, and Datasets
IJCNLP 2025
A Comprehensive Text Optimization Approach to Bangla Summarization
IJCNLP 2025
HateNet-BN at BLP-2025 Task 1: A Hierarchical Attention Approach for Bangla Hate Speech Detection
IJCNLP 2025
Structure-Aware Chunking for Abstractive Summarization of Long Legal Documents
IJCNLP 2025
A Review of Quantum Computing Approaches to Semantic Search and Text Classification in Natural Language Processing
IJCNLP 2025
A Systematic Survey of Quantum Natural Language Processing: Models, Encoding Paradigms, and Evaluation Methods
IJCNLP 2025
Overview of the Third Workshop for Artificial Intelligence for Scientific Publications
IJCNLP 2025
Finding the Paper Behind the Data: Automatic Identification of Research Articles related to Data Publications
IJCNLP 2025
AstroMLab 5: Structured Summaries and Concept Extraction for 400,000 Astrophysics Papers
IJCNLP 2025
Continuous Fingerspelling Dataset for Indian Sign Language
IJCNLP 2025
Cross-Linguistic Phonological Similarity Analysis in Sign Languages Using HamNoSys
IJCNLP 2025
Pose-Based Sign Language Spotting via an End-to-End Encoder Architecture
IJCNLP 2025
Enhancing Graph Representation Learning with Localized Topological Features
JMLR 2025
Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick
JMLR 2025
On the Approximation of Kernel functions
JMLR 2025
Manifold Fitting under Unbounded Noise
JMLR 2025
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
JMLR 2025
Scaling ResNets in the Large-depth Regime
JMLR 2025
Variance-Aware Estimation of Kernel Mean Embedding
JMLR 2025
Estimation of Local Geometric Structure on Manifolds from Noisy Data
JMLR 2025
Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process
JMLR 2025
Learning causal graphs via nonlinear sufficient dimension reduction
JMLR 2025
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
JMLR 2025
Score-based Causal Representation Learning: Linear and General Transformations
JMLR 2025
Diffeomorphism-based feature learning using Poincaré inequalities on augmented input space
JMLR 2025
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