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)
Input-gradient space particle inference for neural network ensembles
ICLR 2024
Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
NeurIPS 2024
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions
NAACL 2024
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
EMNLP 2024
Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
CVPR 2024
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
ICLR 2024
Instance-aware Contrastive Learning for Occluded Human Mesh Reconstruction
CVPR 2024
Instance-based Max-margin for Practical Few-shot Recognition
CVPR 2024
Instance-Conditional Timescales of Decay for Non-Stationary Learning
AAAI 2024
Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance
ACL 2024
InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning
CVPR 2024
InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models
ACL 2024
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions
AAAI 2024
InstructEdit: Instruction-Based Knowledge Editing for Large Language Models
IJCAI 2024
InstructEval: Systematic Evaluation of Instruction Selection Methods
NAACL 2024
InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models
EACL 2024
Instructing Large Language Models to Identify and Ignore Irrelevant Conditions
NAACL 2024
Instruction Data Generation and Unsupervised Adaptation for Speech Language Models
Interspeech 2024
Instruction Fine-Tuning: Does Prompt Loss Matter?
EMNLP 2024
Instruction-following Evaluation through Verbalizer Manipulation
NAACL 2024
Instruction Fusion: Advancing Prompt Evolution through Hybridization
ACL 2024
Instruction-Guided Visual Masking
NeurIPS 2024
Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks
EMNLP 2024
Instruction Pre-Training: Language Models are Supervised Multitask Learners
EMNLP 2024
Instruction Tuning with Human Curriculum
NAACL 2024