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)
Efficient Multitask Feature and Relationship Learning
UAI 2019
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection
NeurIPS 2019
Efficient online learning with kernels for adversarial large scale problems
NeurIPS 2019
Efficient Pure Exploration in Adaptive Round model
NeurIPS 2019
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations
AAAI 2019
EGG: a toolkit for research on Emergence of lanGuage in Games
EMNLP 2019
Eidetic 3D LSTM: A Model for Video Prediction and Beyond
ICLR 2019
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch
CVPR 2019
Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking
CVPR 2019
Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition
EMNLP 2019
Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive Dialogue
IJCAI 2019
Embodied Question Answering in Photorealistic Environments With Point Cloud Perception
CVPR 2019
Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions
MLHC 2019
Emergence of Object Segmentation in Perturbed Generative Models
NeurIPS 2019
Emergency Department Online Patient-Caregiver Scheduling
AAAI 2019
Emergent Linguistic Phenomena in Multi-Agent Communication Games
EMNLP 2019
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
ICLR 2019
EMI: Exploration with Mutual Information
ICML 2019
EmoSense at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations
SemEval 2019
Emotion Recognition from Natural Phone Conversations in Individuals with and without Recent Suicidal Ideation
Interspeech 2019
Empirical Evaluation of Active Learning Techniques for Neural MT
EMNLP 2019
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness
NeurIPS 2019
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data
AISTATS 2019
Employing Deep Part-Object Relationships for Salient Object Detection
ICCV 2019
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings
ACL 2019