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)
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
NeurIPS 2024
LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions
AAAI 2024
Listenable Maps for Zero-Shot Audio Classifiers
NeurIPS 2024
Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models
ACL 2024
LiT: Unifying LiDAR "Languages" with LiDAR Translator
NeurIPS 2024
LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding Reasoning and Planning
CVPR 2024
LLaMA-Based Models for Aspect-Based Sentiment Analysis
ACL 2024
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction
CVPR 2024
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
ACL 2024
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training
EMNLP 2024
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection
EMNLP 2024
Llamipa: An Incremental Discourse Parser
EMNLP 2024
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
ACL 2024
LLM4Decompile: Decompiling Binary Code with Large Language Models
EMNLP 2024
LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
CVPR 2024
LLM as a metric critic for low resource relation identification
EMNLP 2024
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs
ACL 2024
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
NeurIPS 2024
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation
ACL 2024
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
ICLR 2024
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
NeurIPS 2024
LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks
EMNLP 2024
LLM Explainability via Attributive Masking Learning
EMNLP 2024
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
ACL 2024
LLM Performance Predictors are good initializers for Architecture Search
ACL 2024