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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)

Authorship Obfuscation in Multilingual Machine-Generated Text Detection EMNLP 2024 Auto-Evolve: Enhancing Large Language Model’s Performance via Self-Reasoning Framework EMNLP 2024 Auto-Linear Phenomenon in Subsurface Imaging ICML 2024 AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing AAAI 2024 Automated Defect Report Generation for Enhanced Industrial Quality Control AAAI 2024 Automated Multi-level Preference for MLLMs NeurIPS 2024 Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract) AAAI 2024 Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video Recognition WACV 2024 Automatically Suggesting Diverse Example Sentences for L2 Japanese Learners Using Pre-Trained Language Models ACL 2024 Automatic Detection of Hearing Loss from Children's Speech using wav2vec 2.0 Features Interspeech 2024 Automatic Engineering of Long Prompts ACL 2024 Automatic Instruction Evolving for Large Language Models EMNLP 2024 AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data AAAI 2024 Autonomous Improvement of Instruction Following Skills via Foundation Models CoRL 2024 AutoRef: Generating Refinements of Reviews Given Guidelines ACL 2024 Autoregressive Image Generation without Vector Quantization NeurIPS 2024 Autoregressive Pre-Training on Pixels and Texts EMNLP 2024 AutoTrain: No-code training for state-of-the-art models EMNLP 2024 AvatarGPT: All-in-One Framework for Motion Understanding Planning Generation and Beyond CVPR 2024 AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning NeurIPS 2024 A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability CVPR 2024 AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection CVPR 2024 A Vision Check-up for Language Models CVPR 2024 AV-RIR: Audio-Visual Room Impulse Response Estimation CVPR 2024 A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract) AAAI 2024