Co-occurring keywords · papers mentioning both
Papers
Handformer2T: A Lightweight Regression-Based Model for Interacting Hands Pose Estimation From a Single RGB Image
WACV 2024
Harder Task Needs More Experts: Dynamic Routing in MoE Models
ACL 2024
HDformer: A Higher-Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals
AAAI 2024
Heterogeneous Graph Transformer with Poly-Tokenization
IJCAI 2024
Highly Granular Dialect Normalization and Phonological Dialect Translation for Limburgish
NAACL 2024
HOIST-Former: Hand-held Objects Identification Segmentation and Tracking in the Wild
CVPR 2024
HomoFormer: Homogenized Transformer for Image Shadow Removal
CVPR 2024
How Are Metaphors Processed by Language Models? The Case of Analogies
CoNLL 2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers
NeurIPS 2024
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
ICLR 2024
How Much Context Does My Attention-Based ASR System Need?
Interspeech 2024
Humanoid Locomotion as Next Token Prediction
NeurIPS 2024
HW-TSC’s Submissions To the IWSLT2024 Low-resource Speech Translation Tasks
ACL 2024
Hybrid Sharing for Multi-Label Image Classification
ICLR 2024
Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification
CVPR 2024
Improving Transformers with Dynamically Composable Multi-Head Attention
ICML 2024
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs
AAAI 2024
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings
ACL 2024
Industry vs Academia: Running a Course on Transformers in Two Setups
ACL 2024
Infinite Limits of Multi-head Transformer Dynamics
NeurIPS 2024
InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques
NeurIPS 2024
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions
EMNLP 2024
IR-FRestormer: Iterative Refinement With Fourier-Based Restormer for Accelerated MRI Reconstruction
WACV 2024
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
ICLR 2024
iVideoGPT: Interactive VideoGPTs are Scalable World Models
NeurIPS 2024