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)
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length
ICLR 2023
CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection
CVPR 2023
CIRCLE: Capture in Rich Contextual Environments
CVPR 2023
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval
ACL 2023
Citance-Contextualized Summarization of Scientific Papers
EMNLP 2023
CITB: A Benchmark for Continual Instruction Tuning
EMNLP 2023
CLaC at SemEval-2023 Task 2: Comparing Span-Prediction and Sequence-Labeling Approaches for NER
SemEval 2023
CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose
CVPR 2023
CLAPSpeech: Learning Prosody from Text Context with Contrastive Language-Audio Pre-Training
ACL 2023
Class Adaptive Network Calibration
CVPR 2023
Class Attention Transfer Based Knowledge Distillation
CVPR 2023
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition
CVPR 2023
Classification of Vocal Intensity Category from Speech using the Wav2vec2 and Whisper Embeddings
Interspeech 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning
CVPR 2023
Class-Incremental Learning based on Label Generation
ACL 2023
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation
AAAI 2023
Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation
CVPR 2023
Client-Customized Adaptation for Parameter-Efficient Federated Learning
ACL 2023
ClimaX: A foundation model for weather and climate
ICML 2023
CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data
CVPR 2023
CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
NeurIPS 2023
CLIPPING: Distilling CLIP-Based Models With a Student Base for Video-Language Retrieval
CVPR 2023
CLIPPO: Image-and-Language Understanding From Pixels Only
CVPR 2023
CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels
AAAI 2023
CLIP the Gap: A Single Domain Generalization Approach for Object Detection
CVPR 2023