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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)

Sieve: Multimodal Dataset Pruning using Image Captioning Models CVPR 2024 SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization AISTATS 2024 SignCLIP: Connecting Text and Sign Language by Contrastive Learning EMNLP 2024 Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics AAAI 2024 Signer Diversity-driven Data Augmentation for Signer-Independent Sign Language Translation NAACL 2024 SIG: Speaker Identification in Literature via Prompt-Based Generation AAAI 2024 silp_nlp at SemEval-2024 Task 1: Cross-lingual Knowledge Transfer for Mono-lingual Learning SemEval 2024 SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models CVPR 2024 SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes AAAI 2024 SimCS: Simulation for Domain Incremental Online Continual Segmentation AAAI 2024 Similarity-Navigated Conformal Prediction for Graph Neural Networks NeurIPS 2024 SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology CVPR 2024 Simple Contrastive Multi-View Clustering with Data-Level Fusion IJCAI 2024 Simple Image-Level Classification Improves Open-Vocabulary Object Detection AAAI 2024 Simple Masked Training Strategies Yield Control Policies That Are Robust to Sensor Failure CoRL 2024 Simple online learning with consistent oracle COLT 2024 Simple Post-Training Robustness Using Test Time Augmentations and Random Forest WACV 2024 Simple Semantic-Aided Few-Shot Learning CVPR 2024 Simple Temperature Cool-down in Contrastive Framework for Unsupervised Sentence Representation Learning EACL 2024 Simple Weak Coresets for Non-decomposable Classification Measures AAAI 2024 Simplicity Bias in Overparameterized Machine Learning AAAI 2024 Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice AAAI 2024 Simplifying Constraint Inference with Inverse Reinforcement Learning NeurIPS 2024 Simplifying Latent Dynamics with Softly State-Invariant World Models NeurIPS 2024 SimpliMix: A Simplified Manifold Mixup for Few-Shot Point Cloud Classification WACV 2024