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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'20
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Papers (including subtopics)
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?
EMNLP 2024
Seer: Enabling Future-Aware Online Caching in Networked Systems
NSDI 2024
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation
EMNLP 2024
See Say and Segment: Teaching LMMs to Overcome False Premises
CVPR 2024
SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter
AAAI 2024
Segment Any Change
NeurIPS 2024
Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
CVPR 2024
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
EMNLP 2024
Segment Anything, From Space?
WACV 2024
Segment Anything without Supervision
NeurIPS 2024
Segmenting Watermarked Texts From Language Models
NeurIPS 2024
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving
ACL 2024
SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain
AAAI 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels
NeurIPS 2024
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification
NeurIPS 2024
Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint)
AAAI 2024
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models
EMNLP 2024
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability
EMNLP 2024
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model
EMNLP 2024
Selective Deep Autoencoder for Unsupervised Feature Selection
AAAI 2024
Selective Explanations
NeurIPS 2024
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection
MLHC 2024
Selective Generation for Controllable Language Models
NeurIPS 2024
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
CVPR 2024
Selectively Answering Visual Questions
ACL 2024