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)
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples
NeurIPS 2021
Towards Bridging Event Captioner and Sentence Localizer for Weakly Supervised Dense Event Captioning
CVPR 2021
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution
NAACL 2021
Towards Defending against Adversarial Examples via Attack-Invariant Features
ICML 2021
Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation
EMNLP 2021
Towards Discovery and Attribution of Open-World GAN Generated Images
ICCV 2021
Towards Discriminative Representation Learning for Unsupervised Person Re-Identification
ICCV 2021
Towards Distraction-Robust Active Visual Tracking
ICML 2021
Towards Domain-Agnostic Contrastive Learning
ICML 2021
Towards Domain Invariant Single Image Dehazing
AAAI 2021
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
AAAI 2021
Towards Efficient and Effective Adversarial Training
NeurIPS 2021
Towards Emotional Support Dialog Systems
ACL 2021
Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based Approach
EACL 2021
Towards Evaluating and Training Verifiably Robust Neural Networks
CVPR 2021
Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract)
AAAI 2021
Towards Fair Cross-Domain Adaptation via Generative Learning
WACV 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
ICLR 2021
Towards Feature Space Adversarial Attack by Style Perturbation
AAAI 2021
Towards Generative Aspect-Based Sentiment Analysis
ACL 2021
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets
CVPR 2021
Towards High Fidelity Monocular Face Reconstruction With Rich Reflectance Using Self-Supervised Learning and Ray Tracing
ICCV 2021
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning
NeurIPS 2021
Towards Improving Adversarial Training of NLP Models
EMNLP 2021
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search
CVPR 2021