auxiliary loss

CTC Regularization for Low-Resource Speech-to-Text Translation EACL 2026 Learning Cascade Ranking as One Network ICML 2025 On the Similarities of Embeddings in Contrastive Learning ICML 2025 On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation ICML 2024 Adaptive Mixing of Auxiliary Losses in Supervised Learning AAAI 2023 Efficient RL via Disentangled Environment and Agent Representations ICML 2023 SALTTS: Leveraging Self-Supervised Speech Representations for improved Text-to-Speech Synthesis Interspeech 2023 JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation EMNLP 2022 Reinforcement Learning with Automated Auxiliary Loss Search NeurIPS 2022 SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information CVPR 2022 Background Splitting: Finding Rare Classes in a Sea of Background CVPR 2021 DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization EMNLP 2021 Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation EMNLP 2021 Relaxing the Conditional Independence Assumption of CTC-Based ASR by Conditioning on Intermediate Predictions Interspeech 2021 Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability CoRL 2020 Guiding Attention for Self-Supervised Learning with Transformers EMNLP 2020 Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition Interspeech 2019 Character-Level Language Modeling with Deeper Self-Attention AAAI 2019 Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses EMNLP 2019 Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing AAAI 2019 Self-Teaching Networks Interspeech 2019 Learning Longer-term Dependencies in RNNs with Auxiliary Losses ICML 2018