Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
Instruction Tuning With Loss Over Instructions
NeurIPS 2024
Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis
ACL 2024
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
ICLR 2024
Instruct Me More! Random Prompting for Visual In-Context Learning
WACV 2024
Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging
EMNLP 2024
Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue
ACL 2024
Instructor-inspired Machine Learning for Robust Molecular Property Prediction
NeurIPS 2024
Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions
CVPR 2024
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior
ICLR 2024
InstructVideo: Instructing Video Diffusion Models with Human Feedback
CVPR 2024
Integrating Argumentation and Hate-Speech-based Techniques for Countering Misinformation
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 Quasi-symbolic Conceptual Knowledge into Language Model Pre-training
CoNLL 2024
Integrating Speech Self-Supervised Learning Models and Large Language Models for ASR
Interspeech 2024
Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training
EMNLP 2024
Integrating Supervised Extractive and Generative Language Models for Suicide Risk Evidence Summarization
EACL 2024
Intelligent Switching for Reset-Free RL
ICLR 2024
IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification
IJCAI 2024
Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution
AAAI 2024
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce
EMNLP 2024
InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models
CVPR 2024
Interactive Continual Learning: Fast and Slow Thinking
CVPR 2024
Interactive Deep Clustering via Value Mining
NeurIPS 2024
Interactive Human-Centric Bias Mitigation
AAAI 2024