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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)

SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching CVPR 2024 SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning COLING 2024 SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection CVPR 2024 SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer CVPR 2024 SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning AAAI 2024 SDMTR: A Brain-inspired Transformer for Relation Inference AISTATS 2024 Se2: Sequential Example Selection for In-Context Learning ACL 2024 SEABO: A Simple Search-Based Method for Offline Imitation Learning ICLR 2024 Seamless Language Expansion: Enhancing Multilingual Mastery in Self-Supervised Models Interspeech 2024 Searching for Best Practices in Retrieval-Augmented Generation EMNLP 2024 Searching for High-Value Molecules Using Reinforcement Learning and Transformers ICLR 2024 Searching for Programmatic Policies in Semantic Spaces IJCAI 2024 Searching for Structure: Appraising the Organisation of Speech Features in wav2vec 2.0 Embeddings Interspeech 2024 Second-order forward-mode optimization of recurrent neural networks for neuroscience NeurIPS 2024 Second Order Methods for Bandit Optimization and Control COLT 2024 Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks EMNLP 2024 SeD: Semantic-Aware Discriminator for Image Super-Resolution CVPR 2024 Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai ACL 2024 SeeDRec: Sememe-based Diffusion for Sequential Recommendation IJCAI 2024 SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes ACL 2024 Seeing Dark Videos via Self-Learned Bottleneck Neural Representation AAAI 2024 “Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations? EMNLP 2024 Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment NeurIPS 2024 Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling CVPR 2024 SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models EMNLP 2024