Papers
12094 papers
ICLR2024
AgentBench: Evaluating LLMs as Agents
Summary pending...
Large language modelsAutonomous agentsReasoning
ICLR2024
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning
Summary pending...
Multi-Objective OptimizationBlack-Box OptimizationBlack-Box Multi-Objective Optimization
ICLR2024
Training Graph Transformers via Curriculum-Enhanced Attention Distillation
Summary pending...
graph transformersgraph neural networksknowledge distillation
ICLR2024
Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models
Summary pending...
Vision-language models; Soft-prompt tuning; Low-norm effect; Normalizing soft prompts
ICLR2024
Identifying Policy Gradient Subspaces
Summary pending...
reinforcement learningpolicy gradientsgradient subspaces
ICLR2024
Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
Summary pending...
asymptotic freenesssketchingensembles
ICLR2024
Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
Summary pending...
ICUIntensive Care UnitEHR
ICLR2024
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
Summary pending...
Machine UnlearningUnsupervised LearningDeep Learning
ICLR2024
VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation
Summary pending...
video generationdiffusion modeltemproal modeling
ICLR2024
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps
Summary pending...
TransformerAttention mapFeed-forward
ICLR2024
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
Summary pending...
Retrieval Augmented Language ModelsLarge Language ModelsRobustness
ICLR2024
Evaluating Language Model Agency Through Negotiations
Summary pending...
language model evaluationdynamic evaluationalignment
ICLR2024
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
Summary pending...
Lipschitz continuityDouble DescentLabel Noise
ICLR2024
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics
Summary pending...
Brownian dynamicsstochastic differential equationgraph neural network
ICLR2024
Efficient Continual Finite-Sum Minimization
Summary pending...
Finite Sum MinimizationVariance ReductionOptimization
ICLR2024
Attention-based Iterative Decomposition for Tensor Product Representation
Summary pending...
tensor product representationsystematic generalizationcompositional generalization
ICLR2024
On the Role of General Function Approximation in Offline Reinforcement Learning
Summary pending...
reinforcement learning theoryoffline reinforcement learninggeneral function approximation
ICLR2024
Querying Easily Flip-flopped Samples for Deep Active Learning
Summary pending...
active learninguncertaintycloseness
ICLR2024
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
Summary pending...
neural ODEtime-series forecastingclimate prediction
ICLR2024
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
Summary pending...
automatic evaluationlarge language modelsllm-as-a-judge