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Learning Types

56,254 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 (1,984) 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)

Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models ICCV 2023 Instance-Dependent Confidence and Early Stopping for Reinforcement Learning JMLR 2023 Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory COLT 2023 Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection CVPR 2023 Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification EMNLP 2023 Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding AAAI 2023 Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation CVPR 2023 InstanT: Semi-supervised Learning with Instance-dependent Thresholds NeurIPS 2023 InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators EMNLP 2023 InstructExcel: A Benchmark for Natural Language Instruction in Excel EMNLP 2023 Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives NeurIPS 2023 Instruction Induction: From Few Examples to Natural Language Task Descriptions ACL 2023 Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis ACL 2023 InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models EMNLP 2023 InstructPTS: Instruction-Tuning LLMs for Product Title Summarization EMNLP 2023 Instrumental Variable Estimation of Average Partial Causal Effects ICML 2023 In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval ICCV 2023 INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition ACL 2023 Integrally Pre-Trained Transformer Pyramid Networks CVPR 2023 Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations Interspeech 2023 Integrating Prior Knowledge in Contrastive Learning with Kernel ICML 2023 Intelligible Lip-to-Speech Synthesis with Speech Units Interspeech 2023 InteMATs: Integrating Granularity-Specific Multilingual Adapters for Cross-Lingual Transfer EMNLP 2023 IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery EMNLP 2023 Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data IJCAI 2023