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)
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation
EMNLP 2020
FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis
AAAI 2020
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching
CVPR 2020
Flow-based Intrinsic Curiosity Module
IJCAI 2020
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation
WACV 2020
FNNC: Achieving Fairness through Neural Networks
IJCAI 2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
CVPR 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
CVPR 2020
Focusing on Detail: Deep Hashing Based on Multiple Region Details (Student Abstract)
AAAI 2020
Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation
CVPR 2020
Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task
IJCAI 2020
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
CVPR 2020
Form2Seq : A Framework for Higher-Order Form Structure Extraction
EMNLP 2020
FPETS: Fully Parallel End-to-End Text-to-Speech System
AAAI 2020
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference
AAAI 2020
Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning
Interspeech 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
ICLR 2020
Friendly Topic Assistant for Transformer Based Abstractive Summarization
EMNLP 2020
From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement
CVPR 2020
From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks
CVPR 2020
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
ACL 2020
From pixels to legs: Hierarchical learning of quadruped locomotion
CoRL 2020
From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback Constraint
Interspeech 2020
From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers
EMNLP 2020
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction
CVPR 2020