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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)

LLM-QAT: Data-Free Quantization Aware Training for Large Language Models ACL 2024 LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs ACL 2024 LLMs are Good Sign Language Translators CVPR 2024 LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement EMNLP 2024 LLMs Can Evolve Continually on Modality for X-Modal Reasoning NeurIPS 2024 LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives EMNLP 2024 L+M-24: Building a Dataset for Language+Molecules @ ACL 2024 ACL 2024 LM2: A Simple Society of Language Models Solves Complex Reasoning EMNLP 2024 LM-Cocktail: Resilient Tuning of Language Models via Model Merging ACL 2024 LMD: Faster Image Reconstruction with Latent Masking Diffusion AAAI 2024 Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding AAAI 2024 Localized Zeroth-Order Prompt Optimization NeurIPS 2024 Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner NeurIPS 2024 Localizing Memorization in SSL Vision Encoders NeurIPS 2024 Locally Measuring Cross-lingual Lexical Alignment: A Domain and Word Level Perspective EMNLP 2024 LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems ACL 2024 Locating and Extracting Relational Concepts in Large Language Models ACL 2024 Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild NeurIPS 2024 LoCoNet: Long-Short Context Network for Active Speaker Detection CVPR 2024 LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models ACL 2024 Logits Reranking via Semantic Labels for Hard Samples in Text Classification EMNLP 2024 LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer AAAI 2024 LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration EMNLP 2024 Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models ACL 2024 LongForm: Effective Instruction Tuning with Reverse Instructions EMNLP 2024