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)
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
ACL 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
NeurIPS 2024
AGILE: A Novel Reinforcement Learning Framework of LLM Agents
NeurIPS 2024
A Global Geometric Analysis of Maximal Coding Rate Reduction
ICML 2024
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings
EMNLP 2024
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
ICLR 2024
A Grounded Preference Model for LLM Alignment
ACL 2024
AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack
AAAI 2024
A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems
EMNLP 2024
A Hierarchical Network for Multimodal Document-Level Relation Extraction
AAAI 2024
AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System
AAAI 2024
AIST AIRC Systems for the WMT 2024 Shared Tasks
EMNLP 2024
A Joint Coreference-Aware Approach to Document-Level Target Sentiment Analysis
ACL 2024
A Joint Noise Disentanglement and Adversarial Training Framework for Robust Speaker Verification
Interspeech 2024
A Kernel Perspective on Distillation-based Collaborative Learning
NeurIPS 2024
ALaRM: Align Language Models via Hierarchical Rewards Modeling
ACL 2024
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data
NeurIPS 2024
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models
EMNLP 2024
ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data
ICML 2024
Algebraic Positional Encodings
NeurIPS 2024
Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-Answering
CVPR 2024
Align Before Adapt: Leveraging Entity-to-Region Alignments for Generalizable Video Action Recognition
CVPR 2024
AlignCap: Aligning Speech Emotion Captioning to Human Preferences
EMNLP 2024
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
EMNLP 2024
Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning
ICML 2024