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Learning Types

56,254 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 (1,984) 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)

HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization ICLR 2023 Hypernetworks for Zero-Shot Transfer in Reinforcement Learning AAAI 2023 HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction EMNLP 2023 HyperTuning: Toward Adapting Large Language Models without Back-propagation ICML 2023 Hypervolume Maximization: A Geometric View of Pareto Set Learning NeurIPS 2023 Hypotheses Tree Building for One-Shot Temporal Sentence Localization AAAI 2023 Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability ICML 2023 Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context ACL 2023 I2C-Huelva at SemEval-2023 Task 9: Analysis of Intimacy in Multilingual Tweets Using Resampling Methods and Transformers SemEval 2023 I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification CVPR 2023 I2R’s End-to-End Speech Translation System for IWSLT 2023 Offline Shared Task ACL 2023 IAEval: A Comprehensive Evaluation of Instance Attribution on Natural Language Understanding EMNLP 2023 IBA: Towards Irreversible Backdoor Attacks in Federated Learning NeurIPS 2023 ICICLE: Interpretable Class Incremental Continual Learning ICCV 2023 ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction ICCV 2023 iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition CVPR 2023 i-Code: An Integrative and Composable Multimodal Learning Framework AAAI 2023 iDAG: Invariant DAG Searching for Domain Generalization ICCV 2023 IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval NeurIPS 2023 Ideal Abstractions for Decision-Focused Learning AISTATS 2023 Identifiability Guarantees for Causal Disentanglement from Soft Interventions NeurIPS 2023 Identifiability of Label Noise Transition Matrix ICML 2023 Identifiability Results for Multimodal Contrastive Learning ICLR 2023 Identifiable Contrastive Learning with Automatic Feature Importance Discovery NeurIPS 2023 Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance AAAI 2023