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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)

LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning NeurIPS 2024 LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions AAAI 2024 Listenable Maps for Zero-Shot Audio Classifiers NeurIPS 2024 Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models ACL 2024 LiT: Unifying LiDAR "Languages" with LiDAR Translator NeurIPS 2024 LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding Reasoning and Planning CVPR 2024 LLaMA-Based Models for Aspect-Based Sentiment Analysis ACL 2024 LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction CVPR 2024 LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models ACL 2024 LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training EMNLP 2024 Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection EMNLP 2024 Llamipa: An Incremental Discourse Parser EMNLP 2024 LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement ACL 2024 LLM4Decompile: Decompiling Binary Code with Large Language Models EMNLP 2024 LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation CVPR 2024 LLM as a metric critic for low resource relation identification EMNLP 2024 LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs ACL 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NeurIPS 2024 LLM can Achieve Self-Regulation via Hyperparameter Aware Generation ACL 2024 LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation ICLR 2024 LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation NeurIPS 2024 LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks EMNLP 2024 LLM Explainability via Attributive Masking Learning EMNLP 2024 LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction ACL 2024 LLM Performance Predictors are good initializers for Architecture Search ACL 2024