conftrace_

representation learning

6174 papers

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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

On the Functional Similarity of Robust and Non-Robust Neural Representations ICML 2023

Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language ICML 2023

Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think ICML 2023

The Power of Contrast for Feature Learning: A Theoretical Analysis JMLR 2023

Coarse-to-fine Few-shot Learning for Named Entity Recognition ACL 2023

ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis ACL 2023

What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model INTERSPEECH 2023

Towards Paralinguistic-Only Speech Representations for End-to-End Speech Emotion Recognition INTERSPEECH 2023

Hierarchical Timbre-Cadence Speaker Encoder for Zero-shot Speech Synthesis INTERSPEECH 2023

Using Semi-supervised Learning for Monaural Time-domain Speech Separation with a Self-supervised Learning-based SI-SNR Estimator INTERSPEECH 2023

Masked Trajectory Models for Prediction, Representation, and Control ICML 2023

An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning ICML 2023

Simplified Temporal Consistency Reinforcement Learning ICML 2023

Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG INTERSPEECH 2023

Privacy-preserving Representation Learning for Speech Understanding INTERSPEECH 2023

Curriculum Learning for Self-supervised Speaker Verification INTERSPEECH 2023

Towards Multi-task Learning of Speech and Speaker Recognition INTERSPEECH 2023

How to Estimate Model Transferability of Pre-Trained Speech Models? INTERSPEECH 2023

Eliminating Domain Bias for Federated Learning in Representation Space NIPS 2023

URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates NIPS 2023

Compositional Generalization from First Principles NIPS 2023

Feature-Learning Networks Are Consistent Across Widths At Realistic Scales NIPS 2023

Domain Generalization with Interpolation Robustness ACML 2023

Deep Kernel Regression with Finite Learnable Kernels ACML 2023

Predicting Temporal Sets with Simplified Fully Connected Networks AAAI 2023