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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)

Retrieving Multimodal Information for Augmented Generation: A Survey EMNLP 2023 Retrosynthesis Prediction with Local Template Retrieval AAAI 2023 RETUYT-InCo at BEA 2023 Shared Task: Tuning Open-Source LLMs for Generating Teacher Responses ACL 2023 RevColV2: Exploring Disentangled Representations in Masked Image Modeling NeurIPS 2023 Revealing Single Frame Bias for Video-and-Language Learning ACL 2023 Revealing the Dark Secrets of Masked Image Modeling CVPR 2023 REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory CVPR 2023 Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction AAAI 2023 Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning EMNLP 2023 ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration CVPR 2023 Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training ACL 2023 Revisiting adapters with adversarial training ICLR 2023 Revisiting Automated Prompting: Are We Actually Doing Better? ACL 2023 Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences? ACL 2023 Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments ICLR 2023 Revisiting Large Language Models as Zero-shot Relation Extractors EMNLP 2023 Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens CVPR 2023 Revisiting non-English Text Simplification: A Unified Multilingual Benchmark ACL 2023 Revisiting Relation Extraction in the era of Large Language Models ACL 2023 Revisiting Self-Similarity: Structural Embedding for Image Retrieval CVPR 2023 Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring CVPR 2023 Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond ACL 2023 Revisiting the Entropy Semiring for Neural Speech Recognition ICLR 2023 Revisiting the Importance of Amplifying Bias for Debiasing AAAI 2023 Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition AAAI 2023