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)
Delay and Cooperation in Nonstochastic Linear Bandits
NeurIPS 2020
DeltaGrad: Rapid retraining of machine learning models
ICML 2020
Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation
NeurIPS 2020
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting
ACL 2020
Demoting Racial Bias in Hate Speech Detection
ACL 2020
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
NeurIPS 2020
Demystifying Inter-Class Disentanglement
ICLR 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
NeurIPS 2020
Denoising Multi-Source Weak Supervision for Neural Text Classification
EMNLP 2020
Density-Aware Graph for Deep Semi-Supervised Visual Recognition
CVPR 2020
Density-Based Clustering for 3D Object Detection in Point Clouds
CVPR 2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
CVPR 2020
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks
NeurIPS 2020
Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals
UAI 2020
Design Adaptive AI for RTS Game by Learning Player's Build Order
IJCAI 2020
Design Challenges in Low-resource Cross-lingual Entity Linking
EMNLP 2020
Designing Precise and Robust Dialogue Response Evaluators
ACL 2020
Design Space for Graph Neural Networks
NeurIPS 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification
Interspeech 2020
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
CVPR 2020
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions
ICLR 2020
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty
Interspeech 2020
Detecting Domain-Specific Credibility and Expertise in Text and Speech
Interspeech 2020
Detecting Entailment in Code-Mixed Hindi-English Conversations
EMNLP 2020
Detecting Extrapolation with Local Ensembles
ICLR 2020