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)
Conditioning Sparse Variational Gaussian Processes for Online Decision-making
NeurIPS 2021
Confidence-Budget Matching for Sequential Budgeted Learning
ICML 2021
Confidence Scores Make Instance-dependent Label-noise Learning Possible
ICML 2021
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting
AISTATS 2021
Conflict-Averse Gradient Descent for Multi-task learning
NeurIPS 2021
Confluent Vessel Trees With Accurate Bifurcations
CVPR 2021
Conformal Bayesian Computation
NeurIPS 2021
Conformal prediction interval for dynamic time-series
ICML 2021
Conjugate Energy-Based Models
ICML 2021
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results
ICML 2021
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories
EMNLP 2021
ConRPG: Paraphrase Generation using Contexts as Regularizer
EMNLP 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
ACL 2021
Conservative Offline Distributional Reinforcement Learning
NeurIPS 2021
Consistency Regularization for Cross-Lingual Fine-Tuning
ACL 2021
Consistency Regularization for Variational Auto-Encoders
NeurIPS 2021
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation
AAAI 2021
Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces
ICCV 2021
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers
NeurIPS 2021
Consistent Non-Parametric Methods for Maximizing Robustness
NeurIPS 2021
Consistent regression when oblivious outliers overwhelm
ICML 2021
Consistent Semi-Supervised Graph Regularization for High Dimensional Data
JMLR 2021
Constrained labeling for weakly supervised learning
UAI 2021
Constrained Multi-Task Learning for Event Coreference Resolution
NAACL 2021
Constructing contrastive samples via summarization for text classification with limited annotations
EMNLP 2021