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)
Cryptocurrency Day Trading and Framing Prediction in Microblog Discourse
EMNLP 2021
Crystallization Learning with the Delaunay Triangulation
ICML 2021
cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora
SemEval 2021
CS-BERT: a pretrained model for customer service dialogues
EMNLP 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
NeurIPS 2021
CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction
SemEval 2021
CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction
IJCAI 2021
CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing
ICCV 2021
CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense
SemEval 2021
CTAB-GAN: Effective Table Data Synthesizing
ACML 2021
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network
ACL 2021
CTS2: Time Series Smoothing with Constrained Reinforcement Learning
ACML 2021
CuCo: Graph Representation with Curriculum Contrastive Learning
IJCAI 2021
CUNI Systems for WMT21: Terminology Translation Shared Task
EMNLP 2021
CUNI Systems in WMT21: Revisiting Backtranslation Techniques for English-Czech NMT
EMNLP 2021
Curious Representation Learning for Embodied Intelligence
ICCV 2021
Curriculum Design for Teaching via Demonstrations: Theory and Applications
NeurIPS 2021
Curriculum Disentangled Recommendation with Noisy Multi-feedback
NeurIPS 2021
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
CVPR 2021
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
AAAI 2021
Curriculum Learning by Optimizing Learning Dynamics
AISTATS 2021
Curriculum Learning for Vision-and-Language Navigation
NeurIPS 2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
AAAI 2021
cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE
EMNLP 2021
Cut out the annotator, keep the cutout: better segmentation with weak supervision
ICLR 2021