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)
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation
ACL 2023
Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection
AAAI 2023
Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video
CVPR 2023
MUX-PLMs: Data Multiplexing for High-throughput Language Models
EMNLP 2023
MUX-PLMs: Pre-training Language Models with Data Multiplexing
ACL 2023
MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network
AAAI 2023
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion
NeurIPS 2023
MVImgNet: A Large-Scale Dataset of Multi-View Images
CVPR 2023
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
CVPR 2023
MVP: Multi-task Supervised Pre-training for Natural Language Generation
ACL 2023
MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning
ACL 2023
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation
AAAI 2023
Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control
ACL 2023
NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis
ICLR 2023
NaQ: Leveraging Narrations As Queries To Supervise Episodic Memory
CVPR 2023
Narrative Order Aware Story Generation via Bidirectional Pretraining Model with Optimal Transport Reward
EMNLP 2023
NarrativeXL: a Large-scale Dataset for Long-Term Memory Models
EMNLP 2023
Natural Language-Assisted Sign Language Recognition
CVPR 2023
Navigating Data Scarcity: Pretraining for Medical Utterance Classification
ACL 2023
nav-nlp at RadSum23: Abstractive Summarization of Radiology Reports using BART Finetuning
ACL 2023
N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Space
Interspeech 2023
NCDL: A Framework for Deep Learning on non-Cartesian Lattices
NeurIPS 2023
Neighbor Contrastive Learning on Learnable Graph Augmentation
AAAI 2023
NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action
CVPR 2023
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
ICCV 2023