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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)

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-Aware Loss for Dynamic Facial Expression Recognition in the Wild AAAI 2023 Interactive Image Manipulation With Complex Text Instructions WACV 2023 Interactive Text Generation EMNLP 2023 Inter-image Contrastive Consistency for Multi-Person Pose Estimation AAAI 2023 Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions ACL 2023 Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER ACL 2023 Internal Robust Representations for Domain Generalization AAAI 2023 Interpolating Graph Pair to Regularize Graph Classification AAAI 2023 Interpreting Sentiment Composition with Latent Semantic Tree ACL 2023 Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images CVPR 2023 Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models CVPR 2023 Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup CVPR 2023 Introducing Semantics into Speech Encoders ACL 2023 Intuitive Multilingual Audio-Visual Speech Recognition with a Single-Trained Model EMNLP 2023 Invariant Representations with Stochastically Quantized Neural Networks AAAI 2023 Inverse Reinforcement Learning for Text Summarization EMNLP 2023 Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions EMNLP 2023 Investigating the Saliency of Sentiment Expressions in Aspect-Based Sentiment Analysis ACL 2023 Is a Caption Worth a Thousand Images? A Study on Representation Learning ICLR 2023 Is Anisotropy Truly Harmful? A Case Study on Text Clustering ACL 2023 Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding CVPR 2023 Is ChatGPT the ultimate Data Augmentation Algorithm? EMNLP 2023 Is GPT-3 a Good Data Annotator? ACL 2023