representation learning

6174 papers

Explore in graph

Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

Learnable Layer Selection and Model Fusion for Speech Self-Supervised Learning Models INTERSPEECH 2024

Exploring Self-supervised Embeddings and Synthetic Data Augmentation for Robust Audio Deepfake Detection INTERSPEECH 2024

What Makes Partial-Label Learning Algorithms Effective? NIPS 2024

CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing NIPS 2024

Whister: Using Whisper’s representations for Stuttering detection INTERSPEECH 2024

Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN AAAI 2024

On the Encoding of Gender in Transformer-based ASR Representations INTERSPEECH 2024

Déjà Vu Memorization in Vision–Language Models NIPS 2024

Personalized Federated Learning via Feature Distribution Adaptation NIPS 2024

Self-Supervised Representation Learning from Arbitrary Scenarios CVPR 2024

Emotion-Aware Speech Self-Supervised Representation Learning with Intensity Knowledge INTERSPEECH 2024

Panoptic Scene Graph Generation with Semantics-Prototype Learning AAAI 2024

Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning NIPS 2024

Directed Hypergraph Representation Learning for Link Prediction AISTATS 2024

Predicting Text Preference Via Structured Comparative Reasoning ACL 2024

Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness NIPS 2024

TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space ACL 2024

Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification AAAI 2024

RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations ACL 2024

Balanced-Wav2Vec: Enhancing Stability and Robustness of Representation Learning Through Sample Reweighting Techniques INTERSPEECH 2024

Tackling Missing Modalities in Audio-Visual Representation Learning Using Masked Autoencoders INTERSPEECH 2024

Parameter-efficient Fine-tuning of Speaker-Aware Dynamic Prompts for Speaker Verification INTERSPEECH 2024

Interpretability of Language Models via Task Spaces ACL 2024

AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning INTERSPEECH 2024

Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning ACL 2024