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)
Semi-Supervised Video Inpainting With Cycle Consistency Constraints
CVPR 2023
Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval
AAAI 2023
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation
AAAI 2023
Sentence Embedder Guided Utterance Encoder (SEGUE) for Spoken Language Understanding
Interspeech 2023
Sentence Ordering with a Coherence Verifier
ACL 2023
Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media
ACL 2023
Sentiment Knowledge Enhanced Self-supervised Learning for Multimodal Sentiment Analysis
ACL 2023
SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence
CVPR 2023
Separating Context and Pattern: Learning Disentangled Sentence Representations for Low-Resource Extractive Summarization
ACL 2023
SEPT: Towards Scalable and Efficient Visual Pre-training
AAAI 2023
Sequence Generation with Label Augmentation for Relation Extraction
AAAI 2023
Sequence-Level Knowledge Distillation for Class-Incremental End-to-End Spoken Language Understanding
Interspeech 2023
Sequence-to-Sequence Multi-Modal Speech In-Painting
Interspeech 2023
Sequential Training of GANs Against GAN-Classifiers Reveals Correlated "Knowledge Gaps" Present Among Independently Trained GAN Instances
CVPR 2023
SeqXGPT: Sentence-Level AI-Generated Text Detection
EMNLP 2023
Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction
ACL 2023
SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes
ACL 2023
SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Prompting
EMNLP 2023
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
CVPR 2023
ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision
CVPR 2023
ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations
CVPR 2023
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples
NeurIPS 2023
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning
CVPR 2023
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection
ACL 2023
Should We Learn Most Likely Functions or Parameters?
NeurIPS 2023