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)
KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference
ACL 2021
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers
ACL 2021
Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission
EMNLP 2021
Kawarith: an Arabic Twitter Corpus for Crisis Events
EACL 2021
Keep CALM and Improve Visual Feature Attribution
ICCV 2021
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text
ACL 2021
Keep Learning: Self-supervised Meta-learning for Learning from Inference
EACL 2021
Kernel-Based Reinforcement Learning: A Finite-Time Analysis
ICML 2021
Kernel Continual Learning
ICML 2021
Kernel-convoluted Deep Neural Networks with Data Augmentation
AAAI 2021
Kernel Interpolation for Scalable Online Gaussian Processes
AISTATS 2021
Kernel Self-Attention for Weakly-Supervised Image Classification Using Deep Multiple Instance Learning
WACV 2021
Kernel Thinning
COLT 2021
Keyframe-Focused Visual Imitation Learning
ICML 2021
Keynote Abstract: Events on a Global Scale: Towards Language-Agnostic Event Extraction
ACL 2021
Keyphrase Extraction with Incomplete Annotated Training Data
EMNLP 2021
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning
EMNLP 2021
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
EMNLP 2021
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
CVPR 2021
Keyword Extraction Using Unsupervised Learning on the Document’s Adjacency Matrix
NAACL 2021
KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning
EMNLP 2021
kFolden: k-Fold Ensemble for Out-Of-Distribution Detection
EMNLP 2021
KFU NLP Team at SMM4H 2021 Tasks: Cross-lingual and Cross-modal BERT-based Models for Adverse Drug Effects
NAACL 2021
KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and Relations
SemEval 2021
k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks
IJCAI 2021