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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)

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model ICCV 2025 Inter-Speaker Relative Cues for Text-Guided Target Speech Extraction Interspeech 2025 Intervening in Black Box: Concept Bottleneck Model for Enhancing Human Neural Network Mutual Understanding ICCV 2025 Interweaving Memories of a Siamese Large Language Model AAAI 2025 In-the-wild Audio Spatialization with Flexible Text-guided Localization ACL 2025 In This Environment, As That Speaker: A Text-Driven Framework for Multi-Attribute Speech Conversion Interspeech 2025 Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces AAAI 2025 Introducing OmniGEC: A Silver Multilingual Dataset for Grammatical Error Correction ACL 2025 Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents EMNLP 2025 IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features ICCV 2025 Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process ACL 2025 Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem AISTATS 2025 InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct AAAI 2025 Invertible Projection and Conditional Alignment for Multi-Source Blended-Target Domain Adaptation AAAI 2025 Investigating Adapters for Parameter-efficient Low-resource Automatic Speech Recognition NAACL 2025 Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency ACL 2025 Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models ACL 2025 Investigating Context Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style ACL 2025 Investigating continuous autoregressive generative speech enhancement Interspeech 2025 Investigating Gender Bias in Text-to-Audio Generation Models Interspeech 2025 Investigating Language Preference of Multilingual RAG Systems ACL 2025 Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution ACL 2025 Investigating the Reasonable Effectiveness of Speaker Pre-Trained Models and their Synergistic Power for SingMOS Prediction Interspeech 2025 Investigating the Reasoning Abilities of Large Language Models for Understanding Spoken Language in Interpersonal Interactions Interspeech 2025 Investigating the Robustness of Retrieval-Augmented Generation at the Query Level ACL 2025