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)
ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
CVPR 2021
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
NeurIPS 2021
Forty Years of Speech and Language Processing: From Bayes Decision Rule to Deep Learning
Interspeech 2021
Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors
CVPR 2021
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules
CVPR 2021
Fourier Bases for Solving Permutation Puzzles
AISTATS 2021
Fourier Contour Embedding for Arbitrary-Shaped Text Detection
CVPR 2021
Fourier Space Losses for Efficient Perceptual Image Super-Resolution
ICCV 2021
FrameExit: Conditional Early Exiting for Efficient Video Recognition
CVPR 2021
Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization
EMNLP 2021
Free Lunch for Few-shot Learning: Distribution Calibration
ICLR 2021
Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection
CVPR 2021
Frequency Consistent Adaptation for Real World Super Resolution
AAAI 2021
Fricative Phoneme Detection Using Deep Neural Networks and its Comparison to Traditional Methods
Interspeech 2021
Frivolous Units: Wider Networks Are Not Really That Wide
AAAI 2021
From back to the roots into the gated woods: Deep learning for NLP
NAACL 2021
From Label Smoothing to Label Relaxation
AAAI 2021
From None to Severe: Predicting Severity in Movie Scripts
EMNLP 2021
From Points to Multi-Object 3D Reconstruction
CVPR 2021
From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection Approach
CVPR 2021
From Stock Prediction to Financial Relevance: Repurposing Attention Weights to Assess News Relevance Without Manual Annotations
EMNLP 2021
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation
CVPR 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
CVPR 2021
FSDR: Frequency Space Domain Randomization for Domain Generalization
CVPR 2021
Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction
CVPR 2021