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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)

CLGSI: A Multimodal Sentiment Analysis Framework based on Contrastive Learning Guided by Sentiment Intensity NAACL 2024 CLHA: A Simple Yet Effective Contrastive Learning Framework for Human Alignment COLING 2024 CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration CVPR 2024 CLiC: Concept Learning in Context CVPR 2024 CLIM: Contrastive Language-Image Mosaic for Region Representation AAAI 2024 CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios EMNLP 2024 ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures EMNLP 2024 CLIPAG: Towards Generator-Free Text-to-Image Generation WACV 2024 CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor CVPR 2024 CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models NeurIPS 2024 CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment NeurIPS 2024 CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free WACV 2024 CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning CVPR 2024 CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data AAAI 2024 CLIP in Mirror: Disentangling text from visual images through reflection NeurIPS 2024 CLIP-KD: An Empirical Study of CLIP Model Distillation CVPR 2024 CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning NeurIPS 2024 CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding ICLR 2024 CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment CVPR 2024 C-LLM: Learn to Check Chinese Spelling Errors Character by Character EMNLP 2024 CL-MAE: Curriculum-Learned Masked Autoencoders WACV 2024 Cloud Object Detector Adaptation by Integrating Different Source Knowledge NeurIPS 2024 CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update CVPR 2024 CLTL@Multimodal Hate Speech Event Detection 2024: The Winning Approach to Detecting Multimodal Hate Speech and Its Targets EACL 2024 Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract) AAAI 2024