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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)

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models Interspeech 2025 Tongue-Tied: Breaking LLMs Safety Through New Language Learning NAACL 2025 Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs EMNLP 2025 ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models ACL 2025 ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use ACL 2025 Top-n𝜎: Eliminating Noise in Logit Space for Robust Token Sampling of LLM ACL 2025 Topological Signatures of Adversaries in Multimodal Alignments ICML 2025 Top-one Recommendation with Anonymous User Behaviors (Student Abstract) AAAI 2025 TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation ICCV 2025 To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation AAAI 2025 TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering COLING 2025 To See a World in a Spark of Neuron: Disentangling Multi-Task Interference for Training-Free Model Merging EMNLP 2025 To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation ICLR 2025 TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs IJCAI 2025 TOTP: Transferable Online Pedestrian Trajectory Prediction with Temporal-Adaptive Mamba Latent Diffusion ICCV 2025 Touch2Shape: Touch-Conditioned 3D Diffusion for Shape Exploration and Reconstruction CVPR 2025 Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks COLING 2025 TounsiBench: Benchmarking Large Language Models for Tunisian Arabic EMNLP 2025 Toward Causal Generative Modeling: From Representation to Generation AAAI 2025 Toward Efficient Data-Free Unlearning AAAI 2025 Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models EMNLP 2025 Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers ICLR 2025 Toward Falsifying Causal Graphs Using a Permutation-Based Test AAAI 2025 Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment ICLR 2025 Toward Improving Robustness and Accuracy in Unsupervised Domain Adaptation AAAI 2025