:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jain, Samyak, Lubana, Ekdeep Singh, Oksuz, Kemal, Joy, Tom, Torr, Philip H. S., Sanyal, Amartya, Dokania, Puneet K.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language
Online Access:	https://arxiv.org/abs/2407.10264
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection
by: Oksuz, Kemal, et al.
Published: (2023)

Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation
by: Eiras, Francisco, et al.
Published: (2023)

Fine-tuning can cripple your foundation model; preserving features may be the solution
by: Mukhoti, Jishnu, et al.
Published: (2023)

On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
by: Kuzucu, Selim, et al.
Published: (2024)

Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
by: Jain, Samyak, et al.
Published: (2023)

Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges
by: Oksuz, Kemal, et al.
Published: (2025)

Abrupt Learning in Transformers: A Case Study on Matrix Completion
by: Gopalani, Pulkit, et al.
Published: (2024)

Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
by: de Jorge, Pau, et al.
Published: (2024)

How Do LLMs Persuade? Linear Probes Can Uncover Persuasion Dynamics in Multi-Turn Conversations
by: Jaipersaud, Brandon, et al.
Published: (2025)

Random Representations Outperform Online Continually Learned Representations
by: Prabhu, Ameya, et al.
Published: (2024)

Corrective Machine Unlearning
by: Goel, Shashwat, et al.
Published: (2024)

Are language models aware of the road not taken? Token-level uncertainty and hidden state dynamics
by: Zur, Amir, et al.
Published: (2025)

Towards Reliable Evaluation of Behavior Steering Interventions in LLMs
by: Pres, Itamar, et al.
Published: (2024)

Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders
by: Bohacek, Matyas, et al.
Published: (2025)

Analyzing (In)Abilities of SAEs via Formal Languages
by: Menon, Abhinav, et al.
Published: (2024)

Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
by: Ramesh, Rahul, et al.
Published: (2023)

A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language
by: Lubana, Ekdeep Singh, et al.
Published: (2024)

Competition Dynamics Shape Algorithmic Phases of In-Context Learning
by: Park, Core Francisco, et al.
Published: (2024)

Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
by: Okawa, Maya, et al.
Published: (2023)

Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
by: Nishi, Kento, et al.
Published: (2024)

Mixture of Experts Made Intrinsically Interpretable
by: Yang, Xingyi, et al.
Published: (2025)

Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry
by: Hindupur, Sai Sumedh R., et al.
Published: (2025)

From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit
by: Costa, Valérie, et al.
Published: (2025)

Evaluating Sparse Autoencoders: From Shallow Design to Matching Pursuit
by: Costa, Valérie, et al.
Published: (2025)

Rethinking Safety in LLM Fine-tuning: An Optimization Perspective
by: Kim, Minseon, et al.
Published: (2025)

Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
by: Park, Core Francisco, et al.
Published: (2024)

An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise
by: Düngler, Johanna, et al.
Published: (2025)

Modeling Gene Expression Distributional Shifts for Unseen Genetic Perturbations
by: Ramakrishnan, Kalyan, et al.
Published: (2025)

The Impact of Off-Policy Training Data on Probe Generalisation
by: Kirch, Nathalie, et al.
Published: (2025)

From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts?
by: Mueller, Aaron, et al.
Published: (2025)

AnnoCaseLaw: A Richly-Annotated Dataset For Benchmarking Explainable Legal Judgment Prediction
by: Sesodia, Magnus, et al.
Published: (2025)

In-Context Learning Dynamics with Random Binary Sequences
by: Bigelow, Eric J., et al.
Published: (2023)

Swing-by Dynamics in Concept Learning and Compositional Generalization
by: Yang, Yongyi, et al.
Published: (2024)

Force Dipole Interactions in Tubular Fluid Membranes
by: Jain, Samyak, et al.
Published: (2023)

Nuclear stability and the Fold Catastrophe
by: Jain, Samyak, et al.
Published: (2023)

Tunneling half-lives in macroscopic-microscopic picture
by: Jain, Samyak, et al.
Published: (2024)

Catastrophe theoretic approach to the Higgs Mechanism
by: Jain, Samyak, et al.
Published: (2023)

In-Context Learning Strategies Emerge Rationally
by: Wurgaft, Daniel, et al.
Published: (2025)

Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation
by: Yazıcı, Ziya Ata, et al.
Published: (2024)

GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation
by: Yazıcı, Ziya Ata, et al.
Published: (2024)