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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)

MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science EMNLP 2024 Membership Inference Attacks Against Time-Series Models ACML 2024 Membership Inference Attack Using Self Influence Functions WACV 2024 MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification EMNLP 2024 MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention ACL 2024 MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing ACL 2024 Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences ACL 2024 MeMo: Meaningful, Modular Controllers via Noise Injection NeurIPS 2024 Memorization in Self-Supervised Learning Improves Downstream Generalization ICLR 2024 Memory-Efficient Prompt Tuning for Incremental Histopathology Classification AAAI 2024 MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models COLING 2024 MentalHelp: A Multi-Task Dataset for Mental Health in Social Media COLING 2024 Mentored Learning: Improving Generalization and Convergence of Student Learner JMLR 2024 MEnTr@LT-EDI-2024: Multilingual Ensemble of Transformer Models for Homophobia/Transphobia Detection EACL 2024 MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information AAAI 2024 MERA: A Comprehensive LLM Evaluation in Russian ACL 2024 Mercury: A Code Efficiency Benchmark for Code Large Language Models NeurIPS 2024 MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training ICLR 2024 MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities AAAI 2024 Meta-Adapter for Self-Supervised Speech Models: A Solution to Low-Resource Speech Recognition Challenges COLING 2024 MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024 Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction ICLR 2024 Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract) AAAI 2024 Metadata Enhancement Using Large Language Models ACL 2024 Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration NeurIPS 2024