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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)

Simple Semantic-Aided Few-Shot Learning CVPR 2024 SimpliMix: A Simplified Manifold Mixup for Few-Shot Point Cloud Classification WACV 2024 SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation AAAI 2024 Simulating Expert Discussions with Multi-agent for Enhanced Scientific Problem Solving ACL 2024 Simulation-Free Training of Neural ODEs on Paired Data NeurIPS 2024 Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models ACL 2024 Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair EMNLP 2024 Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation EMNLP 2024 Sing it, Narrate it: Quality Musical Lyrics Translation EMNLP 2024 Single Domain Generalization for Crowd Counting CVPR 2024 Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models NeurIPS 2024 Single-Model and Any-Modality for Video Object Tracking CVPR 2024 Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation CVPR 2024 Single-View Scene Point Cloud Human Grasp Generation CVPR 2024 SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model CVPR 2024 SinSR: Diffusion-Based Image Super-Resolution in a Single Step CVPR 2024 Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning AAAI 2024 Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning CVPR 2024 SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions NeurIPS 2024 Skills-in-Context: Unlocking Compositionality in Large Language Models EMNLP 2024 SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing AAAI 2024 SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents NeurIPS 2024 SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals ICML 2024 Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract) AAAI 2024 Sliced Wasserstein with Random-Path Projecting Directions ICML 2024