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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)

Towards Practical Non-Adversarial Distribution Matching AISTATS 2024 Towards Principled Representation Learning from Videos for Reinforcement Learning ICLR 2024 Towards Privacy-Aware Sign Language Translation at Scale ACL 2024 Towards Realistic Model Selection for Semi-supervised Learning ICML 2024 Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network CVPR 2024 Towards Real-world Scenario: Imbalanced New Intent Discovery ACL 2024 Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization AAAI 2024 Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper Interspeech 2024 Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models ECCV 2024 Towards Reliable Learning in the Wild: Generalization and Adaptation AAAI 2024 Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline NeurIPS 2024 Towards Representation Learning for Weighting Problems in Design-Based Causal Inference UAI 2024 Towards Reproducible, Automated, and Scalable Anomaly Detection AAAI 2024 Towards Robust 3D Pose Transfer with Adversarial Learning CVPR 2024 Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning ACL 2024 Towards Robust Evaluation of Unlearning in LLMs via Data Transformations EMNLP 2024 Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology EMNLP 2024 Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation Interspeech 2024 Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks AAAI 2024 Towards Robust Multimodal Sentiment Analysis with Incomplete Data NeurIPS 2024 Towards Robustness to Natural Variations and Distribution Shift (Student Abstract) AAAI 2024 Towards Robust Offline Reinforcement Learning under Diverse Data Corruption ICLR 2024 Towards Robust Speech Representation Learning for Thousands of Languages EMNLP 2024 Towards Robust Temporal Activity Localization Learning with Noisy Labels COLING 2024 Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning ACL 2024