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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
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Doubly Adversarial Federated Bandits ICML 2023 Doubly Fair Dynamic Pricing AISTATS 2023 Doubly Right Object Recognition: A Why Prompt for Visual Rationales CVPR 2023 Doubly-Robust Self-Training NeurIPS 2023 Downstream-agnostic Adversarial Examples ICCV 2023 Downstream Datasets Make Surprisingly Good Pretraining Corpora ACL 2023 Downstream Task Agnostic Speech Enhancement with Self-Supervised Representation Loss Interspeech 2023 Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation ACL 2023 Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection ICML 2023 DPAUC: Differentially Private AUC Computation in Federated Learning AAAI 2023 DPF: Learning Dense Prediction Fields With Weak Supervision CVPR 2023 DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects ICCV 2023 DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization NeurIPS 2023 DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection ICCV 2023 DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration CVPR 2023 DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework EMNLP 2023 Dragonfly_captain at SemEval-2023 Task 11: Unpacking Disagreement with Investigation of Annotator Demographics and Task Difficulty SemEval 2023 DrapeNet: Garment Generation and Self-Supervised Draping CVPR 2023 DRCFS: Doubly Robust Causal Feature Selection ICML 2023 DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation CVPR 2023 DREAM: Deployment of Recombination and Ensembles in Argument Mining EMNLP 2023 DREAM: Efficient Dataset Distillation by Representative Matching ICCV 2023 DreamTeacher: Pretraining Image Backbones with Deep Generative Models ICCV 2023 Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions AAAI 2023 DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction EACL 2023