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Overcoming Multi-model Forgetting

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Overcoming Multi-model Forgetting

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Learning Trajectory Dependencies for Human Motion Prediction

Feed-forwards meet recurrent networks in vehicle trajectory prediction

Learning Entailment-Based Sentence Embeddings from Natural Language Inference

Domain Adaptation and Investigation of Robustness of DNN-based Embeddings for Text-Independent Speaker Verification Using Dilated Residual Networks

Implicit discourse relation classification with syntax-aware contextualized word representations

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Deep Learning Works in Practice. But Does it Work in Theory?

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Learning to Find Good Correspondences

Learning to Find Good Correspondences

Feed-forwards meet recurrent networks in vehicle trajectory prediction

Learning Entailment-Based Sentence Embeddings from Natural Language Inference

Learning Trajectory Dependencies for Human Motion Prediction

Domain Adaptation and Investigation of Robustness of DNN-based Embeddings for Text-Independent Speaker Verification Using Dilated Residual Networks

Implicit discourse relation classification with syntax-aware contextualized word representations

Architectural Sampling: A Formal Basis for Machine-Learnable Architecture

Learning to Find Good Correspondences

Deep Learning Works in Practice. But Does it Work in Theory?

Learning to Find Good Correspondences

Cross-lingual Adaptation of a CTC-based multilingual Acoustic Model