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Model Architecture

4,351 papers

Papers per year

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Papers

End-to-end framework for spoof-aware speaker verification INTERSPEECH 2022
Multi-Objective Deep Learning with Adaptive Reference Vectors NIPS 2022
Variational Feature Pyramid Networks ICML 2022
Locally Aggregated Feature Attribution on Natural Language Model Understanding NAACL 2022
SPDY: Accurate Pruning with Speedup Guarantees ICML 2022
Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets AAAI 2022
Model Preserving Compression for Neural Networks NIPS 2022
Adversarial Reprogramming Revisited NIPS 2022
Conditional GANs with Auxiliary Discriminative Classifier ICML 2022
On the Practicality of Deterministic Epistemic Uncertainty ICML 2022
BScNets: Block Simplicial Complex Neural Networks AAAI 2022
Robust Training of Neural Networks Using Scale Invariant Architectures ICML 2022
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse NIPS 2022
FAM: Visual Explanations for the Feature Representations From Deep Convolutional Networks CVPR 2022
Training Spiking Neural Networks with Event-driven Backpropagation NIPS 2022
GreedyNASv2: Greedier Search With a Greedy Path Filter CVPR 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows ICML 2022
Face Relighting With Geometrically Consistent Shadows CVPR 2022
MONICA2: Mobile Neural Voice Command Assistants towards Smaller and Smarter AAAI 2022
Deep Learning for Prosody-Based Irony Classification in Spontaneous Speech INTERSPEECH 2022
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity JMLR 2022
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators COLT 2022
MultiQuant: Training Once for Multi-bit Quantization of Neural Networks IJCAI 2022
Dynamic Dual-Output Diffusion Models CVPR 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks ICML 2022