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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)

Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners CVPR 2024 Adversarially Robust Hypothesis Transfer Learning ICML 2024 Adversarially-Robust Inference on Trees via Belief Propagation COLT 2024 Adversarially Robust Multi-task Representation Learning NeurIPS 2024 Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NeurIPS 2024 Adversarial Math Word Problem Generation EMNLP 2024 Adversarial Moment-Matching Distillation of Large Language Models NeurIPS 2024 Adversarial Online Collaborative Filtering ALT 2024 Adversarial Online Learning with Temporal Feedback Graphs COLT 2024 Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game ACL 2024 Adversarial Purification with the Manifold Hypothesis AAAI 2024 Adversarial Robustification via Text-to-Image Diffusion Models ECCV 2024 Adversarial Robustness Analysis in Automatic Pathological Speech Detection Approaches Interspeech 2024 Adversarial Robust Safeguard for Evading Deep Facial Manipulation AAAI 2024 Adversarial Schrödinger Bridge Matching NeurIPS 2024 Adversarial Score Distillation: When score distillation meets GAN CVPR 2024 Adversarial Socialbots Modeling Based on Structural Information Principles AAAI 2024 Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive ICLR 2024 Adversarial Text Generation using Large Language Models for Dementia Detection EMNLP 2024 Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization ICLR 2024 AdvST: Revisiting Data Augmentations for Single Domain Generalization AAAI 2024 A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution CVPR 2024 A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning AAAI 2024 AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation CVPR 2024 A Fairness-Driven Method for Learning Human-Compatible Negotiation Strategies EMNLP 2024