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)
MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning
EMNLP 2024
MUSCLE: A Model Update Strategy for Compatible LLM Evolution
EMNLP 2024
Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations
NeurIPS 2024
MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enhancement
Interspeech 2024
MuTox: Universal MUltilingual Audio-based TOXicity Dataset and Zero-shot Detector
ACL 2024
Mutual-Modality Adversarial Attack with Semantic Perturbation
AAAI 2024
MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval
CVPR 2024
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
CVPR 2024
MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans?
EMNLP 2024
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving
AAAI 2024
NAPGuard: Towards Detecting Naturalistic Adversarial Patches
CVPR 2024
NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing
NeurIPS 2024
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives
EMNLP 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries
ACL 2024
Nature-Inspired Local Propagation
NeurIPS 2024
Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models
EMNLP 2024
Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation
EMNLP 2024
Navigating the OverKill in Large Language Models
ACL 2024
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models
EMNLP 2024
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations
WACV 2024
NC-TTT: A Noise Constrastive Approach for Test-Time Training
CVPR 2024
ND-MRM: Neuronal Diversity Inspired Multisensory Recognition Model
AAAI 2024
Nearest Neighbor Normalization Improves Multimodal Retrieval
EMNLP 2024
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs
AAAI 2024
Nebula: A discourse aware Minecraft Builder
EMNLP 2024