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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Diffusion Models Already Have A Semantic Latent Space ICLR 2023 Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels NeurIPS 2023 Diffusion Models for Non-autoregressive Text Generation: A Survey IJCAI 2023 DiffusionRet: Generative Text-Video Retrieval with Diffusion Model ICCV 2023 Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection NeurIPS 2023 DiffuSum: Generation Enhanced Extractive Summarization with Diffusion ACL 2023 DiffUTE: Universal Text Editing Diffusion Model NeurIPS 2023 Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering ACL 2023 Dimensionality Reduction for Machine Learning-based Argument Mining EMNLP 2023 Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023 Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning ICLR 2023 DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships ACL 2023 Dink-Net: Neural Clustering on Large Graphs ICML 2023 DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning NeurIPS 2023 DIP: Dead code Insertion based Black-box Attack for Programming Language Model ACL 2023 DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment EMNLP 2023 Directed Chain Generative Adversarial Networks ICML 2023 Directional diffusion models for graph representation learning NeurIPS 2023 Directional Speech Recognition for Speaker Disambiguation and Cross-talk Suppression Interspeech 2023 Direct Models for Simultaneous Translation and Automatic Subtitling: FBK@IWSLT2023 ACL 2023 Direct Preference-based Policy Optimization without Reward Modeling NeurIPS 2023 Dirichlet-based Uncertainty Calibration for Active Domain Adaptation ICLR 2023 Dirichlet Diffusion Score Model for Biological Sequence Generation ICML 2023 Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning NeurIPS 2023 Disambiguating Numeral Sequences to Decipher Ancient Accounting Corpora ACL 2023