Papers
12094 papers
ICLR2024
FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning
Summary pending...
Federated Learning
ICLR2024
SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem
Summary pending...
optimizationstochastic gradient descenttwo-layer neural network
ICLR2024
Knowledge Fusion of Large Language Models
Summary pending...
Large Language ModelsModel Fusion
ICLR2024
Idempotent Generative Network
Summary pending...
Generative modelidempotentenergy based models
ICLR2024
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
Summary pending...
game theorystochastic optimizationnash equilbrium
ICLR2024
Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
Summary pending...
deep learninginformation bottleneck principlestochastic neural networks
ICLR2024
RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering
Summary pending...
Vision Question Answering Natural Language Explanation (VQA-NLE)
ICLR2024
Learning Energy Decompositions for Partial Inference in GFlowNets
Summary pending...
Generative flow networksreinforcement learninggenerative models
ICLR2024
Successor Heads: Recurring, Interpretable Attention Heads In The Wild
Summary pending...
InterpretabilityLarge Language ModelsNatural Language Processing
ICLR2024
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment
Summary pending...
featuremetric image alignment
ICLR2024
Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG
Summary pending...
Directed Acyclic GraphsStructure Learning
ICLR2024
Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space
Summary pending...
EquivariancePoint CloudsMessage Passing Neural Network
ICLR2024
Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model
Summary pending...
Combinatorial OptimizationClass-Contrained Bin Packing ProblemsGraph Convolution Network
ICLR2024
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
Summary pending...
optimization theoryconvergence analysisheavy-ball momentum
ICLR2024
MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy
Summary pending...
graph kernelgraph metric learningmaximum mean discrepancy
ICLR2024
Elucidating the Exposure Bias in Diffusion Models
Summary pending...
Generative modelsDiffusion models
ICLR2024
Grokking as a First Order Phase Transition in Two Layer Networks
Summary pending...
Grokkingdeep neural networksGaussian Process
ICLR2024
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
Summary pending...
differential privacylarge language modelsin-context learning
ICLR2024
A Mutual Information Perspective on Federated Contrastive Learning
Summary pending...
federated learningcontrastive learningself-supervised
ICLR2024
TOSS: High-quality Text-guided Novel View Synthesis from a Single Image
Summary pending...
novel view synthesis3D object synthesisdiffusion model