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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Input-gradient space particle inference for neural network ensembles ICLR 2024 Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space NeurIPS 2024 InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions NAACL 2024 In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search EMNLP 2024 Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding CVPR 2024 #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models ICLR 2024 Instance-aware Contrastive Learning for Occluded Human Mesh Reconstruction CVPR 2024 Instance-based Max-margin for Practical Few-shot Recognition CVPR 2024 Instance-Conditional Timescales of Decay for Non-Stationary Learning AAAI 2024 Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance ACL 2024 InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning CVPR 2024 InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models ACL 2024 InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions AAAI 2024 InstructEdit: Instruction-Based Knowledge Editing for Large Language Models IJCAI 2024 InstructEval: Systematic Evaluation of Instruction Selection Methods NAACL 2024 InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models EACL 2024 Instructing Large Language Models to Identify and Ignore Irrelevant Conditions NAACL 2024 Instruction Data Generation and Unsupervised Adaptation for Speech Language Models Interspeech 2024 Instruction Fine-Tuning: Does Prompt Loss Matter? EMNLP 2024 Instruction-following Evaluation through Verbalizer Manipulation NAACL 2024 Instruction Fusion: Advancing Prompt Evolution through Hybridization ACL 2024 Instruction-Guided Visual Masking NeurIPS 2024 Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks EMNLP 2024 Instruction Pre-Training: Language Models are Supervised Multitask Learners EMNLP 2024 Instruction Tuning with Human Curriculum NAACL 2024