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)
Aligner: Efficient Alignment by Learning to Correct
NeurIPS 2024
Aligners: Decoupling LLMs and Alignment
EMNLP 2024
Aligning Audio-Visual Joint Representations with an Agentic Workflow
NeurIPS 2024
Aligning Diffusion Models by Optimizing Human Utility
NeurIPS 2024
Aligning Language Models to Explicitly Handle Ambiguity
EMNLP 2024
Aligning Large Language Models via Fine-grained Supervision
ACL 2024
Aligning Large Language Models with Diverse Political Viewpoints
EMNLP 2024
Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
CVPR 2024
Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models
ECCV 2024
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
NeurIPS 2024
Alignment-Based Decoding Policy for Low-Latency and Anticipation-Free Neural Japanese Input Method Editors
ACL 2024
Alignment for Honesty
NeurIPS 2024
AlignNet: Learning dataset score alignment functions to enable better training of speech quality estimators
Interspeech 2024
AlignRE: An Encoding and Semantic Alignment Approach for Zero-Shot Relation Extraction
ACL 2024
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
CVPR 2024
AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference
EMNLP 2024
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
ICLR 2024
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models
AAAI 2024
AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery
NeurIPS 2024
Allen Institute for AI @ SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages
EACL 2024
Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering
NeurIPS 2024
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
NeurIPS 2024
All Languages Matter: On the Multilingual Safety of LLMs
ACL 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
IJCAI 2024
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
CVPR 2024