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
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Papers (including subtopics)
PropBank-Powered Data Creation: Utilizing Sense-Role Labelling to Generate Disaster Scenario Data
COLING 2024
Propensity Score Alignment of Unpaired Multimodal Data
NeurIPS 2024
Proportional Aggregation of Preferences for Sequential Decision Making
AAAI 2024
ProS: Facial Omni-Representation Learning via Prototype-Based Self-Distillation
WACV 2024
Prospective Learning: Learning for a Dynamic Future
NeurIPS 2024
Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
NeurIPS 2024
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking
EMNLP 2024
ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention
NeurIPS 2024
Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers
AAAI 2024
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
NeurIPS 2024
Protein-ligand binding representation learning from fine-grained interactions
ICLR 2024
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
NeurIPS 2024
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training
ACL 2024
Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation
WACV 2024
Prototypical Reward Network for Data-Efficient RLHF
ACL 2024
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
ICLR 2024
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
ICLR 2024
Provable Compositional Generalization for Object-Centric Learning
ICLR 2024
Provable Contrastive Continual Learning
ICML 2024
Provable Interactive Learning with Hindsight Instruction Feedback
ICML 2024
Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning
ICLR 2024
Provable Offline Preference-Based Reinforcement Learning
ICLR 2024
Provable Partially Observable Reinforcement Learning with Privileged Information
NeurIPS 2024
Provable Policy Gradient Methods for Average-Reward Markov Potential Games
AISTATS 2024
Provable Robustness against a Union of L_0 Adversarial Attacks
AAAI 2024