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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)

Centrality-aware Product Retrieval and Ranking EMNLP 2024 CEO: Corpus-based Open-Domain Event Ontology Induction EACL 2024 CEPT: A Contrast-Enhanced Prompt-Tuning Framework for Emotion Recognition in Conversation COLING 2024 CERT-ED: Certifiably Robust Text Classification for Edit Distance EMNLP 2024 Certified Adversarial Robustness via Randomized α-Smoothing for Regression Models NeurIPS 2024 Certified Machine Unlearning via Noisy Stochastic Gradient Descent NeurIPS 2024 Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing NeurIPS 2024 CFEVER: A Chinese Fact Extraction and VERification Dataset AAAI 2024 CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation AAAI 2024 C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NeurIPS 2024 CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024 ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images CVPR 2024 ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting COLING 2024 Chain-of-Dictionary Prompting Elicits Translation in Large Language Models EMNLP 2024 Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation ACL 2024 Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models EMNLP 2024 Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning ACL 2024 Chain of Thoughtlessness? An Analysis of CoT in Planning NeurIPS 2024 Chain-of-Thought Predictive Control ICML 2024 Chain-of-Thought Reasoning Without Prompting NeurIPS 2024 Challenges at SemEval 2024 Task 7: Contrastive Learning Approach on Numeral-Aware Language Generation SemEval 2024 Challenges in Urdu Machine Translation ACL 2024 Challenging Large Language Models with New Tasks: A Study on their Adaptability and Robustness ACL 2024 Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning ICLR 2024 Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization NeurIPS 2024