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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)

Keyword-Guided Adaptation of Automatic Speech Recognition Interspeech 2024 KG-Adapter: Enabling Knowledge Graph Integration in Large Language Models through Parameter-Efficient Fine-Tuning ACL 2024 KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding AAAI 2024 Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning ICLR 2024 KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations ICML 2024 Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual Personas EMNLP 2024 KIT-19: A Comprehensive Korean Instruction Toolkit on 19 Tasks for Fine-Tuning Korean Large Language Models COLING 2024 KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction EMNLP 2024 “Knowing When You Don’t Know”: A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation EMNLP 2024 Knowlab’s Submission to L+M Shared Task: All you need is continued pretraining of chemistry texts even for molecule captioning ACL 2024 Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering ACL 2024 Knowledge Acquisition through Continued Pretraining is Difficult: A Case Study on r/AskHistorians ACL 2024 Knowledge-augmented Financial Market Analysis and Report Generation EMNLP 2024 Knowledge-Aware Neuron Interpretation for Scene Classification AAAI 2024 Knowledge-Aware Reasoning over Multimodal Semi-structured Tables EMNLP 2024 Knowledge Composition using Task Vectors with Learned Anisotropic Scaling NeurIPS 2024 Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection ACL 2024 Knowledge Editing in Language Models via Adapted Direct Preference Optimization EMNLP 2024 Knowledge Editing of Large Language Models Unconstrained by Word Order ACL 2024 Knowledge Enhanced Representation Learning for Drug Discovery AAAI 2024 Knowledge Fusion By Evolving Weights of Language Models ACL 2024 Knowledge Graph Error Detection with Contrastive Confidence Adaption AAAI 2024 Knowledge-Guided Dynamic Modality Attention Fusion Framework for Multimodal Sentiment Analysis EMNLP 2024 Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos AAAI 2024 Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models ACL 2024