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)
A Mutual Information Regularization for Adversarial Training
ACML 2021
An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis
AAAI 2021
An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets
IJCAI 2021
Analogical Image Translation for Fog Generation
AAAI 2021
Analogical Proportions: Why They Are Useful in AI
IJCAI 2021
Analysing the Noise Model Error for Realistic Noisy Label Data
AAAI 2021
Analysis of Zero-Shot Crosslingual Learning between English and Korean for Named Entity Recognition
EMNLP 2021
Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes
EACL 2021
Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing
Interspeech 2021
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance
EMNLP 2021
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models
EACL 2021
Analyzing the tree-layer structure of Deep Forests
ICML 2021
An Analysis of LIME for Text Data
AISTATS 2021
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
ICLR 2021
Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms
EMNLP 2021
An Attention Based Multi-view Model for Sarcasm Cause Detection (Student Abstract)
AAAI 2021
An Attention Self-Supervised Contrastive Learning Based Three-Stage Model for Hand Shape Feature Representation in Cued Speech
Interspeech 2021
An Attribute-Aligned Strategy for Learning Speech Representation
Interspeech 2021
Anchor-Constrained Viterbi for Set-Supervised Action Segmentation
CVPR 2021
An Effective Mutual Mean Teaching Based Domain Adaptation Method for Sound Event Detection
Interspeech 2021
An Efficient Algorithm for Cooperative Semi-Bandits
ALT 2021
An Efficient Algorithm for Deep Stochastic Contextual Bandits
AAAI 2021
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
NeurIPS 2021
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
NeurIPS 2021
An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation
EMNLP 2021