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)
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
CVPR 2024
Leveraging Web-Crawled Data for High-Quality Fine-Tuning
EMNLP 2024
LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons
EMNLP 2024
LG-CAV: Train Any Concept Activation Vector with Language Guidance
NeurIPS 2024
LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis
WACV 2024
LiDAR-based Person Re-identification
CVPR 2024
LidarCLIP or: How I Learned To Talk to Point Clouds
WACV 2024
LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes
CVPR 2024
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
EMNLP 2024
Lighthouse: A User-Friendly Library for Reproducible Video Moment Retrieval and Highlight Detection
EMNLP 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
ACL 2024
Lightweight Dynamic Sparse Transformer for Monaural Speech Enhancement
Interspeech 2024
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
NeurIPS 2024
Lightweight Zero-shot Text-to-Speech with Mixture of Adapters
Interspeech 2024
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders
WACV 2024
Linear Layer Extrapolation for Fine-Grained Emotion Classification
EMNLP 2024
Linear Transformers are Versatile In-Context Learners
NeurIPS 2024
Linear Transformers with Learnable Kernel Functions are Better In-Context Models
ACL 2024
Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal Alignment
CVPR 2024
Link-Context Learning for Multimodal LLMs
CVPR 2024
LION: Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge
CVPR 2024
LION: Implicit Vision Prompt Tuning
AAAI 2024
LIONs: An Empirically Optimized Approach to Align Language Models
EMNLP 2024
Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes
NeurIPS 2024
LIRE: listwise reward enhancement for preference alignment
ACL 2024