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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)

Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification CVPR 2024 Leveraging Web-Crawled Data for High-Quality Fine-Tuning EMNLP 2024 LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons EMNLP 2024 LG-CAV: Train Any Concept Activation Vector with Language Guidance NeurIPS 2024 LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis WACV 2024 LiDAR-based Person Re-identification CVPR 2024 LidarCLIP or: How I Learned To Talk to Point Clouds WACV 2024 LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes CVPR 2024 Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning EMNLP 2024 Lighthouse: A User-Friendly Library for Reproducible Video Moment Retrieval and Highlight Detection EMNLP 2024 Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning ACL 2024 Lightweight Dynamic Sparse Transformer for Monaural Speech Enhancement Interspeech 2024 Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation NeurIPS 2024 Lightweight Zero-shot Text-to-Speech with Mixture of Adapters Interspeech 2024 Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders WACV 2024 Linear Layer Extrapolation for Fine-Grained Emotion Classification EMNLP 2024 Linear Transformers are Versatile In-Context Learners NeurIPS 2024 Linear Transformers with Learnable Kernel Functions are Better In-Context Models ACL 2024 Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal Alignment CVPR 2024 Link-Context Learning for Multimodal LLMs CVPR 2024 LION: Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge CVPR 2024 LION: Implicit Vision Prompt Tuning AAAI 2024 LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024 Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes NeurIPS 2024 LIRE: listwise reward enhancement for preference alignment ACL 2024