Cover Image

Finding Shared Decodable Concepts and their Negations in the Brain

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Efird, Cory, Murphy, Alex, Zylberberg, Joel, Fyshe, Alona
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks
by: Murphy, Alex, et al.
Published: (2024)

It's Not a Modality Gap: Characterizing and Addressing the Contrastive Gap
by: Fahim, Abrar, et al.
Published: (2024)

Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Training
by: Saha, Rohan, et al.
Published: (2024)

Concept-Guided Noisy Negative Suppression for Zero-Shot Classification and Grounding of Chest X-Ray Findings
by: Lian, Chenyu, et al.
Published: (2026)

Rethinking Encoder-Decoder Flow Through Shared Structures
by: Laboyrie, Frederik, et al.
Published: (2025)

Domain Independent SVM for Transfer Learning in Brain Decoding
by: Zhou, Shuo, et al.
Published: (2019)

RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models
by: Najafi, Saeed, et al.
Published: (2024)

Offline Preference Optimization via Maximum Marginal Likelihood Estimation
by: Najafi, Saeed, et al.
Published: (2025)

Human-Aligned Image Models Improve Visual Decoding from the Brain
by: Rajabi, Nona, et al.
Published: (2025)

SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding
by: Park, Juhyeon, et al.
Published: (2025)

SIEDD: Shared-Implicit Encoder with Discrete Decoders
by: Rangarajan, Vikram, et al.
Published: (2025)

No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models
by: Pham, Hai X., et al.
Published: (2026)

Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
by: Bhalla, Usha, et al.
Published: (2024)

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them
by: Bui, Anh, et al.
Published: (2025)

Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts
by: Chang, Jinho, et al.
Published: (2024)

Concept Probing: Where to Find Human-Defined Concepts (Extended Version)
by: Ribeiro, Manuel de Sousa, et al.
Published: (2025)

Concept Bottleneck Models Without Predefined Concepts
by: Schrodi, Simon, et al.
Published: (2024)

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
by: Wu, Yongliang, et al.
Published: (2024)

RefDecoder: Enhancing Visual Generation with Conditional Video Decoding
by: Fan, Xiang, et al.
Published: (2026)

DocVLM: Make Your VLM an Efficient Reader
by: Nacson, Mor Shpigel, et al.
Published: (2024)

MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decoding
by: Han, Inhwa, et al.
Published: (2024)

NoT: Federated Unlearning via Weight Negation
by: Khalil, Yasser H., et al.
Published: (2025)

From Segments to Concepts: Interpretable Image Classification via Concept-Guided Segmentation
by: Eisenberg, Ran, et al.
Published: (2025)

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
by: Deng, Kaiyuan, et al.
Published: (2026)

MCM: Multi-layer Concept Map for Efficient Concept Learning from Masked Images
by: Sun, Yuwei, et al.
Published: (2025)

VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs
by: Kolli, Govinda, et al.
Published: (2026)

Hyperbolic Concept Bottleneck Models
by: Uyterlinde, Daniel, et al.
Published: (2026)

Flexible Concept Bottleneck Model
by: Du, Xingbo, et al.
Published: (2025)

Multimodal ELBO with Diffusion Decoders
by: Wesego, Daniel, et al.
Published: (2024)

Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering
by: Buranasiri, Vutichart, et al.
Published: (2026)

Bridging Domains with Approximately Shared Features
by: Zhong, Ziliang Samuel, et al.
Published: (2024)

Parallel Backpropagation for Shared-Feature Visualization
by: Lappe, Alexander, et al.
Published: (2024)

Advanced Brain Tumor Segmentation Using EMCAD: Efficient Multi-scale Convolutional Attention Decoding
by: Uzor, GodsGift, et al.
Published: (2025)

Mitigating Negative Flips via Margin Preserving Training
by: Ricci, Simone, et al.
Published: (2025)

Brain Tumor Segmentation with Special Emphasis on the Non-Enhancing Brain Tumor Compartment
by: Schaffer, T., et al.
Published: (2026)

Fine-grained Classes and How to Find Them
by: Grcić, Matej, et al.
Published: (2024)

Unveiling Concept Attribution in Diffusion Models
by: Nguyen, Quang H., et al.
Published: (2024)

Composite Concept Extraction through Backdooring
by: Ghosh, Banibrata, et al.
Published: (2024)

Minimalist Concept Erasure in Generative Models
by: Zhang, Yang, et al.
Published: (2025)

Unified Concept Editing in Diffusion Models
by: Gandikota, Rohit, et al.
Published: (2023)