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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'20
'25
Papers (including subtopics)
TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting
AAAI 2025
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
CVPR 2025
TCQA2: A Tiered Conversational Q&A Agent in Gaming
ACL 2025
TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis
ACL 2025
TEACH: A Contrastive Knowledge Adaptive Distillation Framework for Classical Chinese Understanding
ACL 2025
Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning
EMNLP 2025
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences
ACL 2025
Teaching by Failure: Counter-Example–Driven Curricula for Transformer Self-Improvement
IJCNLP 2025
Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models
COLING 2025
Teaching Language Models To Gather Information Proactively
EMNLP 2025
Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals
ACL 2025
Teaching LLMs How to Learn with Contextual Fine-Tuning
ICLR 2025
Teaching Models to Improve on Tape
AAAI 2025
Teaching Text Agents to Learn Sequential Decision Making from Failure
ACL 2025
Teaching VLMs to Localize Specific Objects from In-context Examples
ICCV 2025
Teaching Your Models to Understand Code via Focal Preference Alignment
EMNLP 2025
Teach Small Models to Reason by Curriculum Distillation
EMNLP 2025
TeamB2B at BLP-2025 Task 2: BanglaForge: LLM Collaboration with Self-Refinement for Bangla Code Generation
AACL 2025
Team Cantharellus at SemEval-2025 Task 3: Hallucination Span Detection with Fine Tuning on Weakly Supervised Synthetic Data
SemEval 2025
Team FMD LLM at the Financial Misinformation Detection Challenge Task: Exploring Task Structuring and Metadata Impact on Performance
COLING 2025
Team INSALyon2 at SemEval-2025 Task 10: A Zero-shot Agentic Approach to Text Classification
SemEval 2025
Team INSAntive at SemEval-2025 Task 10: Hierarchical Text Classification using BERT
SemEval 2025
Team INSAntive at SlavicNLP-2025 Shared Task: Data Augmentation and Enhancement via Explanations for Persuasion Technique Classification
ACL 2025
TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
ACL 2025
Team ML_Forge@DravidianLangTech 2025: Multimodal Hate Speech Detection in Dravidian Languages
NAACL 2025