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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)

Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning IJCAI 2024 Advancing Open-Domain Conversational Agents - Designing an Engaging System for Natural Multi-Turn Dialogue EACL 2024 Advancing Process Verification for Large Language Models via Tree-Based Preference Learning EMNLP 2024 Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss EMNLP 2024 Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms COLING 2024 Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NeurIPS 2024 Advancing Test-Time Adaptation in Wild Acoustic Test Settings EMNLP 2024 Advancing Video Anomaly Detection: A Concise Review and a New Dataset NeurIPS 2024 Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model AAAI 2024 Adversarial Attacks on Combinatorial Multi-Armed Bandits ICML 2024 Adversarial Attacks on Fairness of Graph Neural Networks ICLR 2024 Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation EMNLP 2024 Adversarial AutoMixup ICLR 2024 Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving CVPR 2024 Adversarial Causal Bayesian Optimization ICLR 2024 Adversarial Distillation Based on Slack Matching and Attribution Region Alignment CVPR 2024 Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue Agents NAACL 2024 Adversarial Environment Design via Regret-Guided Diffusion Models NeurIPS 2024 Adversarial Fairness Network AAAI 2024 Adversarial Imitation Learning via Boosting ICLR 2024 Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024 Adversarial Learning for Multi-Lingual Entity Linking ACL 2024 Adversarially Robust Decision Transformer NeurIPS 2024 Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework ICML 2024 Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters NeurIPS 2024