Deep Learning

Exploring Spatial Schema Intuitions in Large Language and Vision Models ACL 2024 Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation NeurIPS 2024 Exploring Target Representations for Masked Autoencoders ICLR 2024 Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation AAAI 2024 Exploring the Benefit of Activation Sparsity in Pre-training ICML 2024 Exploring the Capability of Mamba in Speech Applications Interspeech 2024 Exploring the Capability of Multimodal LLMs with Yonkoma Manga: The YManga Dataset and Its Challenging Tasks EMNLP 2024 Exploring the Complexity of Deep Neural Networks through Functional Equivalence ICML 2024 Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024 Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning NeurIPS 2024 Exploring the impact of noise in low-resource ASR for Tamil EACL 2024 Exploring the limits of decoder-only models trained on public speech recognition corpora Interspeech 2024 Exploring the Low-Pass Filtering Behavior in Image Super-Resolution ICML 2024 Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection CVPR 2024 Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems AISTATS 2024 Exploring the Practicality of Generative Retrieval on Dynamic Corpora EMNLP 2024 Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning NeurIPS 2024 Exploring the Promise and Limits of Real-Time Recurrent Learning ICLR 2024 Exploring the Relationship between In-Context Learning and Instruction Tuning EMNLP 2024 Exploring the Robustness of Text-to-Speech Synthesis Based on Diffusion Probabilistic Models to Heavily Noisy Transcriptions Interspeech 2024 Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models NeurIPS 2024 Exploring the Role of Node Diversity in Directed Graph Representation Learning IJCAI 2024 Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models EMNLP 2024 Exploring the Suitability of Transformer Models to Analyse Mental Health Peer Support Forum Data for a Realist Evaluation COLING 2024 Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces NeurIPS 2024