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Methodology
← Learning Types
Machine Learning
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Learning Types
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Representation Learning
2843 directly classified papers
Papers per year
2002: 1
2005: 2
2006: 5
2007: 11
2008: 12
2009: 10
2010: 6
2011: 6
2012: 30
2013: 36
2014: 34
2015: 20
2016: 42
2017: 82
2018: 128
2019: 189
2020: 266
2021: 279
2022: 382
2023: 358
2024: 451
2025: 486
2026: 7
Papers
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
NIPS 2024
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
NIPS 2024
Learning To Recognize Occluded and Small Objects With Partial Inputs
WACV 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
AAAI 2024
A scalable generative model for dynamical system reconstruction from neuroimaging data
NIPS 2024
ST$_k$: A Scalable Module for Solving Top-k Problems
NIPS 2024
Analyzing Semantic Change through Lexical Replacements
ACL 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
NIPS 2024
Semantics or spelling? Probing contextual word embeddings with orthographic noise
ACL 2024
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
AAAI 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
NIPS 2024
Efficiency for Free: Ideal Data Are Transportable Representations
NIPS 2024
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
ACL 2024
Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation
AAAI 2024
Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models
AAAI 2024
Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
NIPS 2024
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
ACL 2024
Learning Human-like Representations to Enable Learning Human Values
NIPS 2024
Framework-Agnostic Semantically-Aware Global Reasoning for Segmentation
WACV 2024
Similarity Distribution Based Membership Inference Attack on Person Re-identification
AAAI 2023
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model
AAAI 2023
Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine
AAAI 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
AAAI 2023
Local-Global Defense against Unsupervised Adversarial Attacks on Graphs
AAAI 2023
Towards Robust Metrics for Concept Representation Evaluation
AAAI 2023
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