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
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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)
Controllable and Compositional Generation with Latent-Space Energy-Based Models
NeurIPS 2021
Controllable Context-Aware Conversational Speech Synthesis
Interspeech 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation
AAAI 2021
Controllable Semantic Parsing via Retrieval Augmentation
EMNLP 2021
Controlled Neural Sentence-Level Reframing of News Articles
EMNLP 2021
Controlled tasks for model analysis: Retrieving discrete information from sequences
EMNLP 2021
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
ICML 2021
Control of Unknown (Linear) Systems with Receding Horizon Learning
L4DC 2021
Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection
ACL 2021
Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions
AAAI 2021
ConVEx: Data-Efficient and Few-Shot Slot Labeling
NAACL 2021
Convexified Graph Neural Networks for Distributed Control in Robotic Swarms
IJCAI 2021
Convex Regularization in Monte-Carlo Tree Search
ICML 2021
Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be
JMLR 2021
COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-Training for Vision-Language Representation
ICCV 2021
Cooperation in Threshold Public Projects with Binary Actions
IJCAI 2021
Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions
COLT 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
ICML 2021
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
NeurIPS 2021
CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification
EMNLP 2021
Coping with Label Shift via Distributionally Robust Optimisation
ICLR 2021
Coping with Noisy Training Data Labels in Paraphrase Detection
EMNLP 2021
CORe: Capitalizing On Rewards in Bandit Exploration
UAI 2021
CoreLM: Coreference-aware Language Model Fine-Tuning
EMNLP 2021
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction
ACL 2021