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Ajay Jaiswal — most-cited papers & profile · Computer Vision
← authors
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overview
Ajay Jaiswal
13
papers ·
3
citations ·
14
h-index
University of Delhi · Lovely Professional University · Jawaharlal Nehru Krishi Vishwa Vidyalaya
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Most-cited papers
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
2023 · 2 citations
Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why
2026
AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
2025
IDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model Pretraining
2025
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
2023
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs
2023
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients
2024
From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications
2024
Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning
2024
From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients
2024
Topics
Training Techniques
Efficiency
Fine-Tuning
Model Architecture
RAG
cs.LG
cs.PF
sparse
Evaluation
math.IT