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)
CoE: A Clue of Emotion Framework for Emotion Recognition in Conversations
ACL 2025
Co-Eval: Augmenting LLM-based Evaluation with Machine Metrics
EMNLP 2025
CoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval
EMNLP 2025
Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering
EMNLP 2025
COF: Adaptive Chain of Feedback for Comparative Opinion Quintuple Extraction
COLING 2025
CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization
AAAI 2025
CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards
EMNLP 2025
CogLM: Tracking Cognitive Development of Large Language Models
NAACL 2025
COGNAC at CQs-Gen 2025: Generating Critical Questions with LLM-Assisted Prompting and Multiple RAG Variants
ACL 2025
COGNAC at SemEval-2025 Task 10: Multi-level Narrative Classification with Summarization and Hierarchical Prompting
SemEval 2025
Cognate and Contact-Induced Transfer Learning for Hamshentsnag: A Low-Resource and Endangered Language
NAACL 2025
CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models
ACL 2025
Cognitext@DravidianLangTech2025: Fake News Classification in Malayalam Using mBERT and LSTM
NAACL 2025
Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data
AAAI 2025
Cognitive Feedback: Decoding Human Feedback from Cognitive Signals
EMNLP 2025
Cognitive-Level Adaptive Generation via Capability-Aware Retrieval and Style Adaptation
EMNLP 2025
Cognitive Mirroring for DocRE: A Self-Supervised Iterative Reflection Framework with Triplet-Centric Explicit and Implicit Feedback
ACL 2025
CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework
AAAI 2025
CogStack-KCL-UCL at ArchEHR-QA 2025: Investigating Hybrid LLM Approaches for Grounded Clinical Question Answering
ACL 2025
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
NAACL 2025
COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation
ICCV 2025
CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword Rationalization
ACL 2025
CoLA: Collaborative Low-Rank Adaptation
ACL 2025
CoLeM: A framework for semantic interpretation of Russian-language tables based on contrastive learning
ACL 2025
Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models
ACL 2025