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)
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks
EACL 2024
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels
NAACL 2024
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
ICML 2024
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models
EMNLP 2024
The Power of Resets in Online Reinforcement Learning
NeurIPS 2024
The Predicted-Updates Dynamic Model: Offline, Incremental, and Decremental to Fully Dynamic Transformations
COLT 2024
The Price of Implicit Bias in Adversarially Robust Generalization
NeurIPS 2024
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
ACL 2024
The Processing of Stress in End-to-End Automatic Speech Recognition Models
Interspeech 2024
The Real Price of Bandit Information in Multiclass Classification
COLT 2024
The reasonable effectiveness of speaker embeddings for violence detection
Interspeech 2024
The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models
NeurIPS 2024
The RIP Corpus of Collaborative Hypothesis-Making
COLING 2024
The Road Less Scheduled
NeurIPS 2024
The Sample-Communication Complexity Trade-off in Federated Q-Learning
NeurIPS 2024
The SMART approach to instance-optimal online learning
COLT 2024
The Star Geometry of Critic-Based Regularizer Learning
NeurIPS 2024
The State of Relation Extraction Data Quality: Is Bigger Always Better?
ACL 2024
The State of the Art of Large Language Models on Chartered Financial Analyst Exams
EMNLP 2024
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline
ICML 2024
The Surprising Effectiveness of SP Voting with Partial Preferences
NeurIPS 2024
The surprising efficiency of temporal difference learning for rare event prediction
NeurIPS 2024
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
NeurIPS 2024
The Trickle-down Impact of Reward Inconsistency on RLHF
ICLR 2024
The Typology of Ellipsis: A Corpus for Linguistic Analysis and Machine Learning Applications
EACL 2024