Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
A Minimalist Approach to Offline Reinforcement Learning
NeurIPS 2021
AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT
ACL 2021
A multilabel approach to morphosyntactic probing
EMNLP 2021
A Multilingual Approach to Identify and Classify Exceptional Measures against COVID-19
EMNLP 2021
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
NeurIPS 2021
Analogy Training Multilingual Encoders
AAAI 2021
Analyzing BERT’s Knowledge of Hypernymy via Prompting
EMNLP 2021
Analyzing Deep Neural Network's Transferability via Frechet Distance
WACV 2021
Analyzing Games with a Variable Number of Players
AAAI 2021
Analyzing the Surprising Variability in Word Embedding Stability Across Languages
EMNLP 2021
An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog
EMNLP 2021
Anaphora Resolution in Dialogue: Description of the DFKI-TalkingRobots System for the CODI-CRAC 2021 Shared-Task
EMNLP 2021
An Attention Self-Supervised Contrastive Learning Based Three-Stage Model for Hand Shape Feature Representation in Cued Speech
Interspeech 2021
Anchor-based Bilingual Word Embeddings for Low-Resource Languages
ACL 2021
AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
AAAI 2021
An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation
EMNLP 2021
An Empirical Study of Training Self-Supervised Vision Transformers
ICCV 2021
An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter
ACL 2021
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models
ACL 2021
A Neural Graph-based Local Coherence Model
EMNLP 2021
A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization
ACL 2021
A New Representation for Span-based CCG Parsing
EMNLP 2021
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling
EMNLP 2021
An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers
ACL 2021
Animating Pictures With Eulerian Motion Fields
CVPR 2021