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)
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
ACL 2024
LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs
ACL 2024
LLMs are Good Sign Language Translators
CVPR 2024
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement
EMNLP 2024
LLMs Can Evolve Continually on Modality for X-Modal Reasoning
NeurIPS 2024
LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives
EMNLP 2024
L+M-24: Building a Dataset for Language+Molecules @ ACL 2024
ACL 2024
LM2: A Simple Society of Language Models Solves Complex Reasoning
EMNLP 2024
LM-Cocktail: Resilient Tuning of Language Models via Model Merging
ACL 2024
LMD: Faster Image Reconstruction with Latent Masking Diffusion
AAAI 2024
Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding
AAAI 2024
Localized Zeroth-Order Prompt Optimization
NeurIPS 2024
Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner
NeurIPS 2024
Localizing Memorization in SSL Vision Encoders
NeurIPS 2024
Locally Measuring Cross-lingual Lexical Alignment: A Domain and Word Level Perspective
EMNLP 2024
LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems
ACL 2024
Locating and Extracting Relational Concepts in Large Language Models
ACL 2024
Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild
NeurIPS 2024
LoCoNet: Long-Short Context Network for Active Speaker Detection
CVPR 2024
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
ACL 2024
Logits Reranking via Semantic Labels for Hard Samples in Text Classification
EMNLP 2024
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer
AAAI 2024
LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration
EMNLP 2024
Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models
ACL 2024
LongForm: Effective Instruction Tuning with Reverse Instructions
EMNLP 2024