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)
TST: A Schema-Based Top-Down and Dynamic-Aware Agent of Text-to-Table Tasks
ACL 2025
TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval
AAAI 2025
TSVer: A Benchmark for Fact Verification Against Time-Series Evidence
EMNLP 2025
TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack
ICML 2025
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning
AAAI 2025
TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram
ICLR 2025
TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs
ICML 2025
Tue-JMS at SemEval-2025 Task 11: KReLax: An Ensemble-Based Approach for Multilingual Emotion Detection and Addressing Data Imbalance
SemEval 2025
TUMLU: A Unified and Native Language Understanding Benchmark for Turkic Languages
ACL 2025
Tuned Contrastive Learning
WACV 2025
Tungnaá In Live Performance: An Implementation Of Interactive Artistic Text-To-Voice
Interspeech 2025
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees
UAI 2025
Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning
NAACL 2025
Tuning Less, Prompting More: In-Context Preference Learning Pipeline for Natural Language Transformation
EMNLP 2025
TurBLiMP: A Turkish Benchmark of Linguistic Minimal Pairs
EMNLP 2025
TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice
NAACL 2025
TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text
EMNLP 2025
TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction
ICCV 2025
TurnaboutLLM: A Deductive Reasoning Benchmark from Detective Games
EMNLP 2025
TurQUaz at GenAI Detection Task 1:Dr. Perplexity or: How I Learned to Stop Worrying and Love the Finetuning
COLING 2025
TutorMind at BEA 2025 Shared Task: Leveraging Fine-Tuned LLMs and Data Augmentation for Mistake Identification
ACL 2025
TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility
AISTATS 2025
twinhter at LeWiDi-2025: Integrating Annotator Perspectives into BERT for Learning with Disagreements
EMNLP 2025
TWIST: Text-encoder Weight-editing for Inserting Secret Trojans in Text-to-Image Models
ACL 2025
Two Challenges, One Solution: Robust Multimodal Learning through Dynamic Modality Recognition and Enhancement
EMNLP 2025