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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)

HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs ICLR 2024 Hyperbolic Anomaly Detection CVPR 2024 Hyperbolic Learning with Synthetic Captions for Open-World Detection CVPR 2024 Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin WACV 2024 Hyper-CL: Conditioning Sentence Representations with Hypernetworks ACL 2024 Hypercorrelation Evolution for Video Class-Incremental Learning AAAI 2024 Hypergraph-Based Session Modeling: A Multi-Collaborative Self-Supervised Approach for Enhanced Recommender Systems COLING 2024 Hypergraph-enhanced Dual Semi-supervised Graph Classification ICML 2024 Hypergraph Self-supervised Learning with Sampling-efficient Signals IJCAI 2024 HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation EMNLP 2024 HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts ACL 2024 Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NeurIPS 2024 Hypothesis Generation with Large Language Models EMNLP 2024 Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood AAAI 2024 hyy33 at WASSA 2024 Empathy and Personality Shared Task: Using the CombinedLoss and FGM for Enhancing BERT-based Models in Emotion and Empathy Prediction from Conversation Turns ACL 2024 I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing NeurIPS 2024 iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples NAACL 2024 I am a Strange Dataset: Metalinguistic Tests for Language Models ACL 2024 IASBS at SemEval-2024 Task 10: Delving into Emotion Discovery and Reasoning in Code-Mixed Conversations SemEval 2024 ICAR: Image-Based Complementary Auto Reasoning AAAI 2024 ICE-Score: Instructing Large Language Models to Evaluate Code EACL 2024 ICF-SRSR: Invertible Scale-Conditional Function for Self-Supervised Real-World Single Image Super-Resolution WACV 2024 ICL: Iterative Continual Learning for Multi-domain Neural Machine Translation EMNLP 2024 I Could’ve Asked That: Reformulating Unanswerable Questions EMNLP 2024 ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification NAACL 2024