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Transformers

9,294 papers

Papers per year

Papers

Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model NIPS 2021
Are Transformers more robust than CNNs? NIPS 2021
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis NIPS 2021
Gauge Equivariant Transformer NIPS 2021
Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs NIPS 2021
Post-Training Quantization for Vision Transformer NIPS 2021
End-to-end Multi-modal Video Temporal Grounding NIPS 2021
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias NIPS 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning NIPS 2021
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph NIPS 2021
Do Transformers Really Perform Badly for Graph Representation? NIPS 2021
Cross-view Geo-localization with Layer-to-Layer Transformer NIPS 2021
Focal Attention for Long-Range Interactions in Vision Transformers NIPS 2021
Early Convolutions Help Transformers See Better NIPS 2021
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs AAAI 2021
Deep Contextual Clinical Prediction with Reverse Distillation AAAI 2021
Two-Stream Convolution Augmented Transformer for Human Activity Recognition AAAI 2021
RareBERT: Transformer Architecture for Rare Disease Patient Identification using Administrative Claims AAAI 2021
GTA: Graph Truncated Attention for Retrosynthesis AAAI 2021
Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers AAAI 2021
Confidence-aware Non-repetitive Multimodal Transformers for TextCaps AAAI 2021
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation AAAI 2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation AAAI 2021
AttnMove: History Enhanced Trajectory Recovery via Attentional Network AAAI 2021
Dual Sparse Attention Network For Session-based Recommendation AAAI 2021