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)
Sketch3T: Test-Time Training for Zero-Shot SBIR
CVPR 2022
SketchEdit: Mask-Free Local Image Manipulation With Partial Sketches
CVPR 2022
Sketching based Representations for Robust Image Classification with Provable Guarantees
NeurIPS 2022
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
NeurIPS 2022
Slimmable Domain Adaptation
CVPR 2022
SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning
ACL 2022
Slot-VPS: Object-Centric Representation Learning for Video Panoptic Segmentation
CVPR 2022
SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages
EMNLP 2022
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning
Interspeech 2022
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures
AAAI 2022
SMASH: Improving SMAll Language Models’ Few-SHot Ability with Prompt-Based Distillation
EMNLP 2022
SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation
AAAI 2022
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
ICML 2022
Smooth-Swap: A Simple Enhancement for Face-Swapping With Smoothness
CVPR 2022
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation
EMNLP 2022
SNAIL: Semi-Separated Uncertainty Adversarial
Learning for Universal Domain Adaptation
ACML 2022
SNLP at TextGraphs 2022 Shared Task: Unsupervised Natural Language Premise Selection in Mathematical Texts Using Sentence-MPNet
COLING 2022
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training
NeurIPS 2022
Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance
EMNLP 2022
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics
EMNLP 2022
So Different Yet So Alike! Constrained Unsupervised Text Style Transfer
ACL 2022
Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation
EMNLP 2022
Soft-label Learn for No-Intrusive Speech Quality Assessment
Interspeech 2022
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
NeurIPS 2022
Solving PDE-Constrained Control Problems Using Operator Learning
AAAI 2022