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)
Benchmarking: Past, Present and Future
ACL 2021
Benchmarking Representation Learning for Natural World Image Collections
CVPR 2021
Benchmarking Unsupervised Object Representations for Video Sequences
JMLR 2021
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
ICML 2021
Benchmarks for Deep Off-Policy Evaluation
ICLR 2021
“Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification?
EMNLP 2021
Benign Overfitting of Constant-Stepsize SGD for Linear Regression
COLT 2021
BennettNLP at SemEval-2021 Task 5: Toxic Spans Detection using Stacked Embedding Powered Toxic Entity Recognizer
SemEval 2021
BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks
ACL 2021
BERT Cannot Align Characters
EMNLP 2021
BERTective: Language Models and Contextual Information for Deception Detection
EACL 2021
BERTGen: Multi-task Generation through BERT
ACL 2021
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition
ACL 2021
BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?
ACL 2021
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation
EMNLP 2021
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets
EMNLP 2021
BESA: BERT-based Simulated Annealing for Adversarial Text Attacks
IJCAI 2021
Best Arm Identification in Graphical Bilinear Bandits
ICML 2021
Best-case lower bounds in online learning
NeurIPS 2021
Best Model Identification: A Rested Bandit Formulation
ICML 2021
Best of Both Worlds: Making High Accuracy Non-incremental Transformer-based Disfluency Detection Incremental
ACL 2021
Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning
Interspeech 2021
Better Aggregation in Test-Time Augmentation
ICCV 2021
Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback
AAAI 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
NeurIPS 2021