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Papers (including subtopics)

Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning EMNLP 2024 Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies ALT 2024 Adaptive Compression in Federated Learning via Side Information AISTATS 2024 Adaptive Cross-lingual Text Classification through In-Context One-Shot Demonstrations NAACL 2024 Adaptive Federated Learning with Auto-Tuned Clients ICLR 2024 Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024 Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement AAAI 2024 Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning CVPR 2024 Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction AAAI 2024 Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification AISTATS 2024 Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models AAAI 2024 Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval AAAI 2024 Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning CVPR 2024 Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation NeurIPS 2024 A deep learning approach for distributed aggregative optimization with users’ Feedback L4DC 2024 A deep learning pipeline for the palaeographical dating of ancient Greek papyrus fragments ACL 2024 A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification IJCAI 2024 A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning IJCAI 2024 A Dual-View Approach to Classifying Radiology Reports by Co-Training COLING 2024 Advancement in Graph Understanding: A Multimodal Benchmark and Fine-Tuning of Vision-Language Models ACL 2024 Advancing Cross-Lingual Entity Alignment with Large Language Models: Tailored Sample Segmentation and Zero-Shot Prompts EMNLP 2024 Advancing Precise Outline-Conditioned Text Generation with Task Duality and Explicit Outline Control EACL 2024 Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark AAAI 2024 Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024 Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners CVPR 2024