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)
ASR Confidence Estimation using True Class Lexical Similarity Score
Interspeech 2025
ASR-EC Benchmark: Evaluating Large Language Models on Chinese ASR Error Correction
EMNLP 2025
ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems
Interspeech 2025
Assay2Mol: Large Language Model-based Drug Design Using BioAssay Context
EMNLP 2025
Assessing Crowdsourced Annotations with LLMs: Linguistic Certainty as a Proxy for Trustworthiness
NAACL 2025
Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks
ACL 2025
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing
NAACL 2025
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components
AAAI 2025
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation
IJCNLP 2025
Assessing the Reliability and Validity of GPT-4 in Annotating Emotion Appraisal Ratings
NAACL 2025
Assessing the Sensitivity and Alignment of FOL Closeness Metrics
EMNLP 2025
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance
WACV 2025
Asset Pricing with Contrastive Adversarial Variational Bayes
IJCAI 2025
Assignment of account type to proto-cuneiform economic texts with Multi-Class Support Vector Machines
NAACL 2025
Assimilation and Accommodation: Task-Adaptive Hierarchical Abstraction for Solving Web Tasks
ACL 2025
As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss
ICLR 2025
AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity
EMNLP 2025
Association Pattern-enhanced Molecular Representation Learning
AAAI 2025
Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms
EMNLP 2025
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models
ACL 2025
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
AAAI 2025
ASTPrompter: Preference-Aligned Automated Language Model Red-Teaming to Generate Low-Perplexity Unsafe Prompts
EMNLP 2025
ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks
ICLR 2025
Astra: Efficient Transformer Architecture and Contrastive Dynamics Learning for Embodied Instruction Following
EMNLP 2025
A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis
ACL 2025