Saved in:
| Main Authors: | Garg, Arpit, Saratchandran, Hemanth, Lucey, Simon |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.18444 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting
by: Xu, Runze, et al.
Published: (2026)
by: Xu, Runze, et al.
Published: (2026)
Enhancing Transformers Through Conditioned Embedded Tokens
by: Saratchandran, Hemanth, et al.
Published: (2025)
by: Saratchandran, Hemanth, et al.
Published: (2025)
Efficient Learning With Sine-Activated Low-rank Matrices
by: Ji, Yiping, et al.
Published: (2024)
by: Ji, Yiping, et al.
Published: (2024)
Structured Initialization for Vision Transformers
by: Zheng, Jianqiao, et al.
Published: (2025)
by: Zheng, Jianqiao, et al.
Published: (2025)
Invertible Neural Warp for NeRF
by: Chng, Shin-Fang, et al.
Published: (2024)
by: Chng, Shin-Fang, et al.
Published: (2024)
Leaner Transformers: More Heads, Less Depth
by: Saratchandran, Hemanth, et al.
Published: (2025)
by: Saratchandran, Hemanth, et al.
Published: (2025)
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
by: Saratchandran, Hemanth, et al.
Published: (2024)
by: Saratchandran, Hemanth, et al.
Published: (2024)
Weight Conditioning for Smooth Optimization of Neural Networks
by: Saratchandran, Hemanth, et al.
Published: (2024)
by: Saratchandran, Hemanth, et al.
Published: (2024)
Preconditioners for the Stochastic Training of Neural Fields
by: Chng, Shin-Fang, et al.
Published: (2024)
by: Chng, Shin-Fang, et al.
Published: (2024)
Always Skip Attention
by: Ji, Yiping, et al.
Published: (2025)
by: Ji, Yiping, et al.
Published: (2025)
Stable Forgetting: Bounded Parameter-Efficient Unlearning in Foundation Models
by: Garg, Arpit, et al.
Published: (2025)
by: Garg, Arpit, et al.
Published: (2025)
From Tables to Signals: Revealing Spectral Adaptivity in TabPFN
by: Zheng, Jianqiao, et al.
Published: (2025)
by: Zheng, Jianqiao, et al.
Published: (2025)
Rethinking Attention: Polynomial Alternatives to Softmax in Transformers
by: Saratchandran, Hemanth, et al.
Published: (2024)
by: Saratchandran, Hemanth, et al.
Published: (2024)
D'OH: Decoder-Only Random Hypernetworks for Implicit Neural Representations
by: Gordon, Cameron, et al.
Published: (2024)
by: Gordon, Cameron, et al.
Published: (2024)
Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers
by: Shinnick, Zachary, et al.
Published: (2025)
by: Shinnick, Zachary, et al.
Published: (2025)
Structured Initialization for Attention in Vision Transformers
by: Zheng, Jianqiao, et al.
Published: (2024)
by: Zheng, Jianqiao, et al.
Published: (2024)
Convolutional Initialization for Data-Efficient Vision Transformers
by: Zheng, Jianqiao, et al.
Published: (2024)
by: Zheng, Jianqiao, et al.
Published: (2024)
SineLoRA$Δ$: Sine-Activated Delta Compression
by: Gordon, Cameron, et al.
Published: (2025)
by: Gordon, Cameron, et al.
Published: (2025)
Gradient Descent as a Shrinkage Operator for Spectral Bias
by: Lucey, Simon
Published: (2025)
by: Lucey, Simon
Published: (2025)
Fast Kernel Scene Flow
by: Li, Xueqian, et al.
Published: (2024)
by: Li, Xueqian, et al.
Published: (2024)
Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri--Rao Product
by: Albert, Paul, et al.
Published: (2025)
by: Albert, Paul, et al.
Published: (2025)
G3Splat: Geometrically Consistent Generalizable Gaussian Splatting
by: Hosseinzadeh, Mehdi, et al.
Published: (2025)
by: Hosseinzadeh, Mehdi, et al.
Published: (2025)
Spectral Conditioning of Attention Improves Transformer Performance
by: Saratchandran, Hemanth, et al.
Published: (2026)
by: Saratchandran, Hemanth, et al.
Published: (2026)
Reading Between the Pixels: Linking Text-Image Embedding Alignment to Typographic Attack Success on Vision-Language Models
by: Balakrishnan, Ravikumar, et al.
Published: (2026)
by: Balakrishnan, Ravikumar, et al.
Published: (2026)
RandLoRA: Full-rank parameter-efficient fine-tuning of large models
by: Albert, Paul, et al.
Published: (2025)
by: Albert, Paul, et al.
Published: (2025)
3D Gaussian Point Encoders
by: James, Jim, et al.
Published: (2025)
by: James, Jim, et al.
Published: (2025)
SMORE: Simultaneous Map and Object REconstruction
by: Chodosh, Nathaniel, et al.
Published: (2024)
by: Chodosh, Nathaniel, et al.
Published: (2024)
Trading Positional Complexity vs. Deepness in Coordinate Networks
by: Zheng, Jianqiao, et al.
Published: (2022)
by: Zheng, Jianqiao, et al.
Published: (2022)
STRIDE: Training-Free Diversity Guidance via PCA-Directed Feature Perturbation in Single-Step Diffusion Models
by: Yadav, Ankit, et al.
Published: (2026)
by: Yadav, Ankit, et al.
Published: (2026)
Rethinking the Role of Spatial Mixing
by: Cazenavette, George, et al.
Published: (2025)
by: Cazenavette, George, et al.
Published: (2025)
Cross-Modal Attention Guided Unlearning in Vision-Language Models
by: Bhaila, Karuna, et al.
Published: (2025)
by: Bhaila, Karuna, et al.
Published: (2025)
Object Hallucination-Free Reinforcement Unlearning for Vision-Language Models
by: Jia, Kaidi, et al.
Published: (2026)
by: Jia, Kaidi, et al.
Published: (2026)
Selective, Controlled and Domain-Agnostic Unlearning in Pretrained CLIP: A Training- and Data-Free Approach
by: Mishra, Ashish, et al.
Published: (2025)
by: Mishra, Ashish, et al.
Published: (2025)
Erasing CLIP Memories: Non-Destructive, Data-Free Zero-Shot class Unlearning in CLIP Models
by: Mishra, Ashish, et al.
Published: (2025)
by: Mishra, Ashish, et al.
Published: (2025)
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
by: Li, Jiaqi, et al.
Published: (2024)
by: Li, Jiaqi, et al.
Published: (2024)
Suppression or Deletion: A Restoration-Based Representation-Level Analysis of Machine Unlearning
by: Jang, Yurim, et al.
Published: (2026)
by: Jang, Yurim, et al.
Published: (2026)
NOVO: Unlearning-Compliant Vision Transformers
by: Roy, Soumya, et al.
Published: (2025)
by: Roy, Soumya, et al.
Published: (2025)
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
by: Garg, Arpit, et al.
Published: (2023)
by: Garg, Arpit, et al.
Published: (2023)
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
by: Garg, Arpit, et al.
Published: (2023)
by: Garg, Arpit, et al.
Published: (2023)
On Quantizing Implicit Neural Representations
by: Gordon, Cameron, et al.
Published: (2022)
by: Gordon, Cameron, et al.
Published: (2022)
Similar Items
-
Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting
by: Xu, Runze, et al.
Published: (2026) -
Enhancing Transformers Through Conditioned Embedded Tokens
by: Saratchandran, Hemanth, et al.
Published: (2025) -
Efficient Learning With Sine-Activated Low-rank Matrices
by: Ji, Yiping, et al.
Published: (2024) -
Structured Initialization for Vision Transformers
by: Zheng, Jianqiao, et al.
Published: (2025) -
Invertible Neural Warp for NeRF
by: Chng, Shin-Fang, et al.
Published: (2024)