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 Lifelong Learning of End-to-End ASR
Interspeech 2021
Towards more equitable question answering systems: How much more data do you need?
ACL 2021
Towards Navigation by Reasoning over Spatial Configurations
ACL 2021
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
ICLR 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
NeurIPS 2021
Towards Open World Object Detection
CVPR 2021
Towards Realistic Few-Shot Relation Extraction
EMNLP 2021
Towards Realistic Single-Task Continuous Learning Research for NER
EMNLP 2021
Towards Reducing Biases in Combining Multiple Experts Online
IJCAI 2021
Towards Robust and Reliable Algorithmic Recourse
NeurIPS 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
CVPR 2021
Towards robust episodic meta-learning
UAI 2021
Towards Robust Model Reuse in the Presence of Latent Domains
IJCAI 2021
Towards Robustness of Text-to-SQL Models against Synonym Substitution
ACL 2021
Towards robust vision by multi-task learning on monkey visual cortex
NeurIPS 2021
Towards Rotation Invariance in Object Detection
ICCV 2021
Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract)
AAAI 2021
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN
NeurIPS 2021
Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings?
AAAI 2021
Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter
NAACL 2021
Towards the evaluation of automatic simultaneous speech translation from a communicative perspective
ACL 2021
Towards Topic-Aware Slide Generation For Academic Papers With Unsupervised Mutual Learning
AAAI 2021
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration
AAAI 2021
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion
IJCAI 2021
Towards Understanding Learning in Neural Networks with Linear Teachers
ICML 2021