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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)

LibMTL: A Python Library for Deep Multi-Task Learning JMLR 2023 LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation CVPR 2023 LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception AAAI 2023 Lie Point Symmetry and Physics-Informed Networks NeurIPS 2023 Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs AAAI 2023 Lifelong Person Re-identification via Knowledge Refreshing and Consolidation AAAI 2023 Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy AAAI 2023 Lifting the Curse of Capacity Gap in Distilling Language Models ACL 2023 Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory NeurIPS 2023 LightFormer: Light-weight Transformer Using SVD-based Weight Transfer and Parameter Sharing ACL 2023 Limitations of Language Models in Arithmetic and Symbolic Induction ACL 2023 Limits of Model Selection under Transfer Learning COLT 2023 Linear Classifier: An Often-Forgotten Baseline for Text Classification ACL 2023 Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies ICLR 2023 Linearly Mapping from Image to Text Space ICLR 2023 LINe: Out-of-Distribution Detection by Leveraging Important Neurons CVPR 2023 Linguistically Motivated Sign Language Segmentation EMNLP 2023 Linking People across Text and Images Based on Social Relation Reasoning AAAI 2023 Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation AAAI 2023 LIPN at WojoodNER shared task: A Span-Based Approach for Flat and Nested Arabic Named Entity Recognition EMNLP 2023 LIQUID: A Framework for List Question Answering Dataset Generation AAAI 2023 LI-RAGE: Late Interaction Retrieval Augmented Generation with Explicit Signals for Open-Domain Table Question Answering ACL 2023 Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation CVPR 2023 LiveChat: A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streaming ACL 2023 LIV: Language-Image Representations and Rewards for Robotic Control ICML 2023