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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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)
ARCH: Efficient Adversarial Regularized Training with Caching
EMNLP 2021
Architectural Adversarial Robustness: The Case for Deep Pursuit
CVPR 2021
ARDL - A Library for Adaptive Robotic Dynamics Learning
L4DC 2021
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks
AAAI 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
CVPR 2021
Are BERTs Sensitive to Native Interference in L2 Production?
EMNLP 2021
Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract)
AAAI 2021
Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization
EMNLP 2021
A Relation-Oriented Clustering Method for Open Relation Extraction
EMNLP 2021
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
ICLR 2021
Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task
EMNLP 2021
A ResNet-50-Based Convolutional Neural Network Model for Language ID Identification from Speech Recordings
NAACL 2021
Are Transformers more robust than CNNs?
NeurIPS 2021
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
JMLR 2021
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions
ACL 2021
Are We Summarizing the Right Way? A Survey of Dialogue Summarization Data Sets
EMNLP 2021
ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation
ACL 2021
argmax centroid
NeurIPS 2021
Argumentation-Driven Evidence Association in Criminal Cases
EMNLP 2021
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity
ICLR 2021
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables
ICML 2021
A Robust Loss for Point Cloud Registration
ICCV 2021
A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis
EMNLP 2021
ArSarcasm Shared Task: An Ensemble BERT Model for SarcasmDetection in Arabic Tweets
EACL 2021
Artistic Style Transfer with Internal-external Learning and Contrastive Learning
NeurIPS 2021