Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data
AAAI 2025
Representation-to-Creativity (R2C): Automated Holistic Scoring Model for Essay Creativity
NAACL 2025
Representative Guidance: Diffusion Model Sampling with Coherence
ICLR 2025
REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research?
ACL 2025
Reproducible Vision-Language Models Meet Concepts Out of Pre-Training
CVPR 2025
Reproducing the Argument Quality Prediction of Project Debater
ACL 2025
ReproHum #0031-01: Reproducing the Human Evaluation of Readability from “It is AI’s Turn to Ask Humans a Question”
ACL 2025
ReproHum #0033-05: Human Evaluation of Factuality from A Multidisciplinary Perspective
ACL 2025
ReproHum #0669-08: Reproducing Sentiment Transfer Evaluation
ACL 2025
ReproHum #0729-04: Human Evaluation Reproduction Report for “MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes”
ACL 2025
ReproHum #0744-02: A Reproduction of the Human Evaluation of Meaning Preservation in “Factorising Meaning and Form for Intent-Preserving Paraphrasing”
ACL 2025
Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation
CVPR 2025
Requirement Patterns for Engineering Multiagent Interaction Protocols
IJCAI 2025
Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms
ACL 2025
ReSa2: A Two-Stage Retrieval-Sampling Algorithm for Negative Sampling in Dense Retrieval
ACML 2025
ResCLIP: Residual Attention for Training-free Dense Vision-language Inference
CVPR 2025
Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context
EMNLP 2025
ResearStudio: A Human-intervenable Framework for Building Controllable Deep Research Agents
EMNLP 2025
ReSeeding Latent States for Sequential Language Understanding
EMNLP 2025
Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models
EMNLP 2025
Residual-MPPI: Online Policy Customization for Continuous Control
ICLR 2025
ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks
EMNLP 2025
ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis
NAACL 2025
Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
IJCAI 2025
Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation
AAAI 2025