Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models

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Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models

Chat with Graph Search

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Social-Transmotion: Promptable Human Trajectory Prediction

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Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Text-to-Microstructure Generation Using Generative Deep Learning

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

GELEX: Generative AI-Hybrid System for Example-Based Learning

Network time series forecasting in photovoltaics power production

Sparse autoregressive neural networks for classical spin systems

Revisiting Character-level Adversarial Attacks for Language Models

Aggregating Spatial and Photometric Context for Photometric Stereo

Robust NAS under adversarial training: benchmark, theory, and beyond

Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures

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Performing and Detecting Backdoor Attacks on Face Recognition Algorithms