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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)

LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP CVPR 2024 LQMFormer: Language-aware Query Mask Transformer for Referring Image Segmentation CVPR 2024 LRM-Zero: Training Large Reconstruction Models with Synthesized Data NeurIPS 2024 LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate AAAI 2024 LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NeurIPS 2024 LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification AAAI 2024 LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting ACL 2024 LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling CVPR 2024 LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content CVPR 2024 L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer NeurIPS 2024 LumberChunker: Long-Form Narrative Document Segmentation EMNLP 2024 Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models NeurIPS 2024 LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images CVPR 2024 M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation Interspeech 2024 M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis AAAI 2024 M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweets COLING 2024 M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning AAAI 2024 M33D: Learning 3D Priors Using Multi-Modal Masked Autoencoders for 2D Image and Video Understanding WACV 2024 M3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought ACL 2024 M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation ACL 2024 m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt COLING 2024 MACAROON: Training Vision-Language Models To Be Your Engaged Partners EMNLP 2024 MACE: Mass Concept Erasure in Diffusion Models CVPR 2024 Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models EMNLP 2024 MACP: Efficient Model Adaptation for Cooperative Perception WACV 2024