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)
Instruction Fine-Tuning: Does Prompt Loss Matter?
EMNLP 2024
Instruction Fusion: Advancing Prompt Evolution through Hybridization
ACL 2024
Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks
EMNLP 2024
Instruction Position Matters in Sequence Generation with Large Language Models
ACL 2024
Instruction Pre-Training: Language Models are Supervised Multitask Learners
EMNLP 2024
Instruction Tuning Large Language Models to Understand Electronic Health Records
NeurIPS 2024
Instruction Tuning With Loss Over Instructions
NeurIPS 2024
Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis
ACL 2024
Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue
ACL 2024
Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions
CVPR 2024
InstructVideo: Instructing Video Diffusion Models with Human Feedback
CVPR 2024
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning
EMNLP 2024
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
NeurIPS 2024
Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment
ICML 2024
Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion
NeurIPS 2024
Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback
ACL 2024
Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training
EMNLP 2024
Integration of Global and Local Representations for Fine-grained Cross-modal Alignment
ECCV 2024
Intent Detection in the Age of LLMs
EMNLP 2024
Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution
AAAI 2024
Interactive Continual Learning: Fast and Slow Thinking
CVPR 2024
Interactive Deep Clustering via Value Mining
NeurIPS 2024
InteRead: An Eye Tracking Dataset of Interrupted Reading
COLING 2024
Interfacing Foundation Models' Embeddings
NeurIPS 2024
InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning
ICML 2024