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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)

Revisiting Character-level Adversarial Attacks for Language Models ICML 2024 Revisiting Counterfactual Problems in Referring Expression Comprehension CVPR 2024 Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation ICLR 2024 Revisiting Demonstration Selection Strategies in In-Context Learning ACL 2024 Revisiting Ensembling in One-Shot Federated Learning NeurIPS 2024 Revisiting Few-Shot Object Detection with Vision-Language Models NeurIPS 2024 Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum AAAI 2024 Revisiting motion information for RGB-Event tracking with MOT philosophy NeurIPS 2024 Revisiting Multimodal Transformers for Tabular Data with Text Fields ACL 2024 Revisiting Neural Networks for Continual Learning: An Architectural Perspective IJCAI 2024 Revisiting Open-Set Panoptic Segmentation AAAI 2024 Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers ACL 2024 Revisiting Pixel-Level Contrastive Pre-Training on Scene Images WACV 2024 Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages ICLR 2024 Revisiting Query Variation Robustness of Transformer Models EMNLP 2024 Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective NeurIPS 2024 Revisiting Supervised Contrastive Learning for Microblog Classification EMNLP 2024 Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer CVPR 2024 Revisiting the Power of Prompt for Visual Tuning ICML 2024 Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias NAACL 2024 Revisit Self-supervision with Local Structure-from-Motion ECCV 2024 Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NeurIPS 2024 RevRIR: Joint Reverberant Speech and Room Impulse Response Embedding using Contrastive Learning with Application to Room Shape Classification Interspeech 2024 Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024 Reward (Mis)design for Autonomous Driving (Abstract Reprint) AAAI 2024