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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)

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting ACL 2024 Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis EMNLP 2024 Boosting Model Resilience via Implicit Adversarial Data Augmentation IJCAI 2024 Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference AAAI 2024 Boosting Neural Cognitive Diagnosis with Student’s Affective State Modeling AAAI 2024 Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation CVPR 2024 Boosting Residual Networks with Group Knowledge AAAI 2024 Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance NeurIPS 2024 Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models? EMNLP 2024 Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation CVPR 2024 Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing NeurIPS 2024 Boosting Single Positive Multi-label Classification with Generalized Robust Loss IJCAI 2024 Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective ICLR 2024 Boosting the Potential of Large Language Models with an Intelligent Information Assistant NeurIPS 2024 Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning NeurIPS 2024 Boosting the Transferability of Adversarial Examples with Gradient-Aligned Ensemble Attack for Speaker Recognition Interspeech 2024 Boosting Transferability and Discriminability for Time Series Domain Adaptation NeurIPS 2024 Boosting Vision-Language Models with Transduction NeurIPS 2024 Boosting Weakly Supervised Object Detection Using Fusion and Priors From Hallucinated Depth WACV 2024 Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension NeurIPS 2024 Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection ACL 2024 Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation ICML 2024 Bootstrapping Autonomous Driving Radars with Self-Supervised Learning CVPR 2024 Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models CVPR 2024 Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk ACL 2024