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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)

Instruction Fine-Tuning: Does Prompt Loss Matter? EMNLP 2024 Instruction Fusion: Advancing Prompt Evolution through Hybridization ACL 2024 Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks EMNLP 2024 Instruction Position Matters in Sequence Generation with Large Language Models ACL 2024 Instruction Pre-Training: Language Models are Supervised Multitask Learners EMNLP 2024 Instruction Tuning Large Language Models to Understand Electronic Health Records NeurIPS 2024 Instruction Tuning With Loss Over Instructions NeurIPS 2024 Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis ACL 2024 Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue ACL 2024 Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions CVPR 2024 InstructVideo: Instructing Video Diffusion Models with Human Feedback CVPR 2024 IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning EMNLP 2024 Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation NeurIPS 2024 Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment ICML 2024 Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion NeurIPS 2024 Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback ACL 2024 Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training EMNLP 2024 Integration of Global and Local Representations for Fine-grained Cross-modal Alignment ECCV 2024 Intent Detection in the Age of LLMs EMNLP 2024 Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution AAAI 2024 Interactive Continual Learning: Fast and Slow Thinking CVPR 2024 Interactive Deep Clustering via Value Mining NeurIPS 2024 InteRead: An Eye Tracking Dataset of Interrupted Reading COLING 2024 Interfacing Foundation Models' Embeddings NeurIPS 2024 InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning ICML 2024