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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)

Instruction Tuning With Loss Over Instructions NeurIPS 2024 Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis ACL 2024 Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions ICLR 2024 Instruct Me More! Random Prompting for Visual In-Context Learning WACV 2024 Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging EMNLP 2024 Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue ACL 2024 Instructor-inspired Machine Learning for Robust Molecular Property Prediction NeurIPS 2024 Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions CVPR 2024 InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior ICLR 2024 InstructVideo: Instructing Video Diffusion Models with Human Feedback CVPR 2024 Integrating Argumentation and Hate-Speech-based Techniques for Countering Misinformation EMNLP 2024 Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation NeurIPS 2024 Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment ICML 2024 Integrating Quasi-symbolic Conceptual Knowledge into Language Model Pre-training CoNLL 2024 Integrating Speech Self-Supervised Learning Models and Large Language Models for ASR Interspeech 2024 Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training EMNLP 2024 Integrating Supervised Extractive and Generative Language Models for Suicide Risk Evidence Summarization EACL 2024 Intelligent Switching for Reset-Free RL ICLR 2024 IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification IJCAI 2024 Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution AAAI 2024 IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce EMNLP 2024 InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models CVPR 2024 Interactive Continual Learning: Fast and Slow Thinking CVPR 2024 Interactive Deep Clustering via Value Mining NeurIPS 2024 Interactive Human-Centric Bias Mitigation AAAI 2024