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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12
26
18
20
135
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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)
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
CVPR 2020
Curriculum Learning for Natural Language Understanding
ACL 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
JMLR 2020
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness
ICML 2020
CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features
EMNLP 2020
Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer
COLING 2020
Cycle-Contrast for Self-Supervised Video Representation Learning
NeurIPS 2020
CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-Spectrogram Conversion
Interspeech 2020
Cyclic Spectral Modeling for Unsupervised Unit Discovery into Voice Conversion with Excitation and Waveform Modeling
Interspeech 2020
DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory
AACL 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline
NeurIPS 2020
DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool
COLING 2020
DaST: Data-Free Substitute Training for Adversarial Attacks
CVPR 2020
Data and Representation for Turkish Natural Language Inference
EMNLP 2020
Data Augmentation via Subtree Swapping for Dependency Parsing of Low-Resource Languages
COLING 2020
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
EMNLP 2020
Data-Driven Market-Making via Model-Free Learning
IJCAI 2020
Data-Efficient Image Recognition with Contrastive Predictive Coding
ICML 2020
Data-Efficient Semi-Supervised Learning by Reliable Edge Mining
CVPR 2020
Data Efficient Voice Cloning from Noisy Samples with Domain Adversarial Training
Interspeech 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
CVPR 2020
Dataless Model Selection With the Deep Frame Potential
CVPR 2020
Dataless Short Text Classification Based on Biterm Topic Model and Word Embeddings
IJCAI 2020
DATAMAFIA at WNUT-2020 Task 2: A Study of Pre-trained Language Models along with Regularization Techniques for Downstream Tasks
EMNLP 2020
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation
EMNLP 2020