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)
AMR-TST: Abstract Meaning Representation-based Text Style Transfer
ACL 2023
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
ICLR 2023
A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues
ACL 2023
A Multi-modal Debiasing Model with Dynamical Constraint for Robust Visual Question Answering
ACL 2023
A Multi-Modal Multilingual Benchmark for Document Image Classification
EMNLP 2023
A Multiple-Teacher Pruning Based Self-Distillation (MT-PSD) Approach to Model Compression for Audio-Visual Wake Word Spotting
Interspeech 2023
A Multi-Scale Attentive Transformer for Multi-Instrument Symbolic Music Generation
Interspeech 2023
An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data
AAAI 2023
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast
ACL 2023
Analyzing Diffusion as Serial Reproduction
ICML 2023
Analyzing Modular Approaches for Visual Question Decomposition
EMNLP 2023
Analyzing Pre-trained and Fine-tuned Language Models
EMNLP 2023
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
ACL 2023
An Analysis of Robustness of Non-Lipschitz Networks
JMLR 2023
Anchor3DLane: Learning To Regress 3D Anchors for Monocular 3D Lane Detection
CVPR 2023
An Effective Deployment of Contrastive Learning in Multi-label Text Classification
ACL 2023
An Efficient and Noise-Robust Audiovisual Encoder for Audiovisual Speech Recognition
Interspeech 2023
An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling
CVPR 2023
An Empirical Study of Frame Selection for Text-to-Video Retrieval
EMNLP 2023
An Empirical Study of Instruction-tuning Large Language Models in Chinese
EMNLP 2023
An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations
EMNLP 2023
An end-to-end neural model based on cliques and scopes for frame extraction in long breast radiology reports
ACL 2023
An Ensemble Distillation Framework for Sentence Embeddings with Multilingual Round-Trip Translation
AAAI 2023
A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation
CVPR 2023
An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation
ACL 2023