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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)

Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing ACL 2024 Tree-of-Counterfactual Prompting for Zero-Shot Stance Detection ACL 2024 Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization AAAI 2024 Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation AAAI 2024 Trends, Applications, and Challenges in Human Attention Modelling IJCAI 2024 T-Rep: Representation Learning for Time Series using Time-Embeddings ICLR 2024 TriageAgent: Towards Better Multi-Agents Collaborations for Large Language Model-Based Clinical Triage EMNLP 2024 Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents ACL 2024 TriCoLo: Trimodal Contrastive Loss for Text To Shape Retrieval WACV 2024 Tri-Modal Motion Retrieval by Learning a Joint Embedding Space CVPR 2024 Triple-Encoders: Representations That Fire Together, Wire Together ACL 2024 Triplet Attention Transformer for Spatiotemporal Predictive Learning WACV 2024 Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning CVPR 2024 TrojFSP: Trojan Insertion in Few-shot Prompt Tuning NAACL 2024 TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning EMNLP 2024 Trusted Multi-view Learning with Label Noise IJCAI 2024 Trusted re-weighting for label distribution learning UAI 2024 Trustworthy Machine Learning under Imperfect Data IJCAI 2024 TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models EMNLP 2024 TSP-TTS: Text-based Style Predictor with Residual Vector Quantization for Expressive Text-to-Speech Interspeech 2024 TSU HITS’s Submissions to the WMT 2024 General Machine Translation Shared Task EMNLP 2024 TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024 TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks NeurIPS 2024 Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024 TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models NeurIPS 2024