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
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'25
Papers (including subtopics)
Howard University-AI4PC at SemEval-2025 Task 9: Using Open-weight BART-MNLI for Zero Shot Classification of Food Recall Documents
SemEval 2025
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
ICLR 2025
How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
EMNLP 2025
How Does DPO Reduce Toxicity? A Mechanistic Neuron-Level Analysis
EMNLP 2025
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?
AAAI 2025
How Do Position Encodings Affect Length Generalization? Case Studies On In-Context Function Learning
AAAI 2025
How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison
EMNLP 2025
How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion.
ICLR 2025
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
NAACL 2025
How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching
AAAI 2025
How Sampling Affects the Detectability of Machine-written texts: A Comprehensive Study
EMNLP 2025
How to Compare Things Properly? A Study of Argument Relevance in Comparative Question Answering
ACL 2025
How to Fine-Tune Safely on a Budget: Model Adaptation Using Minimal Resources
EMNLP 2025
How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
EMNLP 2025
How to Mitigate Overfitting in Weak-to-strong Generalization?
ACL 2025
How to Recover Long Audio Sequences Through Gradient Inversion Attack With Dynamic Segment-based Reconstruction
Interspeech 2025
How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?
MIDL 2025
How to Train Long-Context Language Models (Effectively)
ACL 2025
How Well Can Transformers Emulate In-Context Newton’s Method?
AISTATS 2025
HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models
ICCV 2025
HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models
ACL 2025
HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation
AAAI 2025
HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval
AAAI 2025
HU at SemEval-2025 Task 9: Leveraging LLM-Based Data Augmentation for Class Imbalance
SemEval 2025
HuBERT-VIC: Improving Noise-Robust Automatic Speech Recognition of Speech Foundation Model via Variance-Invariance-Covariance Regularization
Interspeech 2025