Probabilistic Adversarial Training
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New papers, breakthroughs and academic AI research
RoboCoach: World Models as Active Coaches for Compositional Robot Skills
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Diffusion-Augmented Markov Decision Processes for Maximum Entropy Reinforcement Learning
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DAMP: Decay-Aware Mixed-Precision Recurrent-State Quantization
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GFD-OPD: Guidance-Folded On-Policy Distillation of Diffusion Models Across Scales
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How Does Local Landscape Geometry Evolve in Language Model Pre-Training?
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Pseudo-Label-Triggered Retraining from Forecast Errors for Online Time Series Forecasting
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ITO: Multi-View Alignment and Training-Time Fusion for Image-Text Pretraining
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Delta-K: Boosting Multi-Instance Generation via Cross-Attention Augmentation
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Diffusion-2BC: Hybrid Diffusion and Regression Training for Offline Behavior Cloning in Autonomous Driving
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DIVER: Diving Deeper into Distilled Data via Expressive Semantic Recovery
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HEAT: Faster Fully Homomorphic Inference via Approximations-Weights Co-Adaptation
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