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Multimodal Learning

13,185 papers

Papers per year

2
46
675
3655
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Papers

Singing Voice Graph Modeling for SingFake Detection INTERSPEECH 2024
Genuine-Focused Learning using Mask AutoEncoder for Generalized Fake Audio Detection INTERSPEECH 2024
PL-TTS: A Generalizable Prompt-based Diffusion TTS Augmented by Large Language Model INTERSPEECH 2024
Towards realtime co-speech gestures synthesis using STARGATE INTERSPEECH 2024
PPPR: Portable Plug-in Prompt Refiner for Text to Audio Generation INTERSPEECH 2024
Frame-Wise Breath Detection with Self-Training: An Exploration of Enhancing Breath Naturalness in Text-to-Speech INTERSPEECH 2024
Seamless Language Expansion: Enhancing Multilingual Mastery in Self-Supervised Models INTERSPEECH 2024
SpeakerBeam-SS: Real-time Target Speaker Extraction with Lightweight Conv-TasNet and State Space Modeling INTERSPEECH 2024
2DP-2MRC: 2-Dimensional Pointer-based Machine Reading Comprehension Method for Multimodal Moment Retrieval INTERSPEECH 2024
Preliminary Investigation of Psychometric Properties of a Novel Multimodal Dialog Based Affect Production Task in Children and Adolescents with Autism INTERSPEECH 2024
Bridging Child-Centered Speech Language Identification and Language Diarization via Phonetics INTERSPEECH 2024
Exploring Speech Foundation Models for Speaker Diarization in Child-Adult Dyadic Interactions INTERSPEECH 2024
Efficient Modality Selection in Multimodal Learning JMLR 2024
TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation NAACL 2024
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models NAACL 2024
DEMO: A Statistical Perspective for Efficient Image-Text Matching NAACL 2024
Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision NAACL 2024
An Examination of the Compositionality of Large Generative Vision-Language Models NAACL 2024
Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks NAACL 2024
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning NAACL 2024
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes NAACL 2024
OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking NAACL 2024
Leveraging Generative Large Language Models with Visual Instruction and Demonstration Retrieval for Multimodal Sarcasm Detection NAACL 2024
DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset NAACL 2024
VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization NAACL 2024