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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)

AMR-TST: Abstract Meaning Representation-based Text Style Transfer ACL 2023 A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification ICLR 2023 A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues ACL 2023 A Multi-modal Debiasing Model with Dynamical Constraint for Robust Visual Question Answering ACL 2023 A Multi-Modal Multilingual Benchmark for Document Image Classification EMNLP 2023 A Multiple-Teacher Pruning Based Self-Distillation (MT-PSD) Approach to Model Compression for Audio-Visual Wake Word Spotting Interspeech 2023 A Multi-Scale Attentive Transformer for Multi-Instrument Symbolic Music Generation Interspeech 2023 An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data AAAI 2023 Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast ACL 2023 Analyzing Diffusion as Serial Reproduction ICML 2023 Analyzing Modular Approaches for Visual Question Decomposition EMNLP 2023 Analyzing Pre-trained and Fine-tuned Language Models EMNLP 2023 AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks ACL 2023 An Analysis of Robustness of Non-Lipschitz Networks JMLR 2023 Anchor3DLane: Learning To Regress 3D Anchors for Monocular 3D Lane Detection CVPR 2023 An Effective Deployment of Contrastive Learning in Multi-label Text Classification ACL 2023 An Efficient and Noise-Robust Audiovisual Encoder for Audiovisual Speech Recognition Interspeech 2023 An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling CVPR 2023 An Empirical Study of Frame Selection for Text-to-Video Retrieval EMNLP 2023 An Empirical Study of Instruction-tuning Large Language Models in Chinese EMNLP 2023 An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations EMNLP 2023 An end-to-end neural model based on cliques and scopes for frame extraction in long breast radiology reports ACL 2023 An Ensemble Distillation Framework for Sentence Embeddings with Multilingual Round-Trip Translation AAAI 2023 A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation CVPR 2023 An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation ACL 2023