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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

CLAP: Collaborative Adaptation for Patchwork Learning ICLR 2024 Clarifying the Behavior and the Difficulty of Adversarial Training AAAI 2024 ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence NeurIPS 2024 CLASP: Cross-modal Alignment Using Pre-trained Unimodal Models ACL 2024 Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations NeurIPS 2024 Classification Diffusion Models: Revitalizing Density Ratio Estimation NeurIPS 2024 Classification with Deep Neural Networks and Logistic Loss JMLR 2024 Class Incremental Learning with Multi-Teacher Distillation CVPR 2024 Class Tokens Infusion for Weakly Supervised Semantic Segmentation CVPR 2024 CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses NeurIPS 2024 Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform ICLR 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 ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures EMNLP 2024 ClinicalRAG: Enhancing Clinical Decision Support through Heterogeneous Knowledge Retrieval ACL 2024 CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow CVPR 2024 CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning CVPR 2024 CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model AAAI 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 CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? ICLR 2024 C-LLM: Learn to Check Chinese Spelling Errors Character by Character EMNLP 2024 CL-MAE: Curriculum-Learned Masked Autoencoders WACV 2024