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Incremental Label Distribution Learning With Scalable Graph Convolutional Networks
Label Distribution Learning (LDL) is an effective approach for handling label ambiguity, as it can analyze all labels at once and …
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Incremental Label Distribution Learning With Scalable Graph Convolutional Networks
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding
The audio watermarking technique embeds messages into audio and accurately extracts messages from the watermarked audio. Traditional …
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IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding
FormerReckoning: Physics Inspired Transformer for Accurate Inertial Navigation
Although modern localization methods have achieved remarkable accuracy with various sensors, there are still some circumstances where …
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FormerReckoning: Physics Inspired Transformer for Accurate Inertial Navigation
Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion
As the Internet of Things (IoT) evolves, the need for enhanced data-sharing to improve edge device performance has led to the adoption …
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Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
Instruction tuning is critical to improve LLMs but usually suffers from low-quality and redundant data. Data filtering for instruction …
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Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
Enhancing Emotion Prediction and Recognition in Conversation through Fine-Grained Emotional Cue Analysis and Cross-Modal Fusion
The purpose of emotion recognition in conversation (ERC) is to identify the emotion category of an utterance based on contextual …
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Enhancing Emotion Prediction and Recognition in Conversation through Fine-Grained Emotional Cue Analysis and Cross-Modal Fusion
RREH: Reconstruction Relations Embedded Hashing for Semi-Paired Cross-Modal Retrieval
Known for efficient computation and easy storage, hashing has been extensively explored in cross-modal retrieval. The majority of …
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RREH: Reconstruction Relations Embedded Hashing for Semi-Paired Cross-Modal Retrieval
RSET: Remapping-based Sorting Method for Emotion Transfer Speech Synthesis
Although current Text-To-Speech (TTS) models are able to generate high-quality speech samples, there are still challenges in developing …
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RSET: Remapping-based Sorting Method for Emotion Transfer Speech Synthesis
Retrieval-Augmented Audio Deepfake Detection
With recent advances in speech synthesis including text-to-speech (TTS) and voice conversion (VC) systems enabling the generation of …
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Retrieval-Augmented Audio Deepfake Detection
CONTUNER: Singing Voice Beautifying with Pitch and Expressiveness Condition
Singing voice beautifying is a novel task that has application value in people’s daily life, aiming to correct the pitch of the …
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CONTUNER: Singing Voice Beautifying with Pitch and Expressiveness Condition