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)
Teaching an Active Learner with Contrastive Examples
NeurIPS 2021
Teaching Keyword Spotters to Spot New Keywords with Limited Examples
Interspeech 2021
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm
NeurIPS 2021
Teach Me What to Say and I Will Learn What to Pick: Unsupervised Knowledge Selection Through Response Generation with Pretrained Generative Models
EMNLP 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
ICML 2021
TeachText: CrossModal Generalized Distillation for Text-Video Retrieval
ICCV 2021
Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference
ACL 2021
Team02 Text-Independent Speaker Verification System for SdSV Challenge 2021
Interspeech 2021
Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching
EMNLP 2021
Team Papelo at FEVEROUS: Multi-hop Evidence Pursuit
EMNLP 2021
Techniques for Symbol Grounding with SATNet
NeurIPS 2021
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
AAAI 2021
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL
AAAI 2021
TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series
ICCV 2021
Temporal Action Detection With Multi-Level Supervision
ICCV 2021
Temporal Action Segmentation From Timestamp Supervision
CVPR 2021
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media
EMNLP 2021
Temporal-aware Language Representation Learning From Crowdsourced Labels
ACL 2021
Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos
WACV 2021
Temporal Context Aggregation for Video Retrieval With Contrastive Learning
WACV 2021
Temporal Context in Speech Emotion Recognition
Interspeech 2021
Temporal Cue Guided Video Highlight Detection With Low-Rank Audio-Visual Fusion
ICCV 2021
Temporal Induced Self-Play for Stochastic Bayesian Games
IJCAI 2021
Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
ICCV 2021
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks
AAAI 2021