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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'10
'15
'20
'25
Papers (including subtopics)
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning
CVPR 2024
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
ACL 2024
DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM
NeurIPS 2024
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models
ACL 2024
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers
EMNLP 2024
DRAVIDIAN LANGUAGE@ LT-EDI 2024:Pretrained Transformer based Automatic Speech Recognition system for Elderly People
EACL 2024
DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images
ICML 2024
DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments
NeurIPS 2024
DREAM: Diffusion Rectification and Estimation-Adaptive Models
CVPR 2024
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption
ICLR 2024
Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data
CoNLL 2024
DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback
CVPR 2024
DRF: Improving Certified Robustness via Distributional Robustness Framework
AAAI 2024
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency
AAAI 2024
DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift
NAACL 2024
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
NeurIPS 2024
DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos
CVPR 2024
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
CVPR 2024
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
NeurIPS 2024
Dropout Regularization Versus l2-Penalization in the Linear Model
JMLR 2024
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
AAAI 2024
DS-Group at SIGHAN-2024 dimABSA Task: Constructing In-context Learning Structure for Dimensional Aspect-Based Sentiment Analysis
ACL 2024
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
NeurIPS 2024
DTL: Disentangled Transfer Learning for Visual Recognition
AAAI 2024
DTS-SQL: Decomposed Text-to-SQL with Small Large Language Models
EMNLP 2024